U.S. patent application number 12/903828 was filed with the patent office on 2011-04-14 for systems and methods for dynamic receipt generation with environmental information.
Invention is credited to Jack Dorsey.
Application Number | 20110087596 12/903828 |
Document ID | / |
Family ID | 43854049 |
Filed Date | 2011-04-14 |
United States Patent
Application |
20110087596 |
Kind Code |
A1 |
Dorsey; Jack |
April 14, 2011 |
Systems and methods for dynamic receipt generation with
environmental information
Abstract
A new approach is proposed that contemplates systems and methods
to enable an individual to complete a financial transaction by
swiping a magnetic stripe card through a card reader connected to a
mobile device. The size of the card reader is miniaturized to be
portable for connection with the mobile device. The card reader is
configured to reliably read data encoded in a magnetic strip of the
card with minimum error in a single swipe and provide a signal that
corresponds to the data read to the mobile device, which then
decodes the incoming signal from the card reader and acts as a
point-of-sale device to complete the financial transaction. Such an
approach enables a person to become either a micro-merchant (payee)
or a buyer/customer (payer) without having to purchase expensive
card reader devices or software.
Inventors: |
Dorsey; Jack; (San
Francisco, CA) |
Family ID: |
43854049 |
Appl. No.: |
12/903828 |
Filed: |
October 13, 2010 |
Related U.S. Patent Documents
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Application
Number |
Filing Date |
Patent Number |
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61278930 |
Oct 13, 2009 |
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Current U.S.
Class: |
705/44 ;
235/380 |
Current CPC
Class: |
G06Q 30/06 20130101;
G06Q 20/32 20130101; G06Q 20/347 20130101; G07F 7/0886 20130101;
G06Q 20/3224 20130101; G06Q 20/204 20130101; G06Q 20/40 20130101;
G06Q 40/02 20130101; G06Q 20/322 20130101; G06Q 20/34 20130101;
G06K 7/087 20130101; G06Q 20/209 20130101 |
Class at
Publication: |
705/44 ;
235/380 |
International
Class: |
G06Q 20/00 20060101
G06Q020/00; G06Q 30/00 20060101 G06Q030/00 |
Claims
1. A system, comprising: a transaction engine running on a host,
which in operation, accepts information of a financial transaction
and card information used for the financial transaction;
communicates with third party financial institution to authorize
the transaction; capture additional data associated with the
transaction; generates a dynamic receipt for the transaction
wherein the dynamic receipt incorporates the additional data
captured.
2. The device of claim 1 wherein the host is a mobile device.
3. The device of claim 2 wherein the mobile device is one of a cell
phone, Apple's iPhone, iPod, iPad, iTouch, and Google's Android
device.
4. The system of claim 1 wherein the financial transaction is an
electronic transaction conducted over the Internet or a card
present point-of-sale transaction where the buyer makes the
purchase at a store front, other "brick-and-mortar" location, or
simply in presence of a merchant.
5. The system of claim 1 wherein the information of the financial
transaction includes one or more of: amount of the transaction,
additional notes related to the transaction, authorization and/or
signature of the buyer.
6. The system of claim 1 wherein the card information includes one
or more of card number, card holder's name, expiration date, and
security code.
7. The system of claim 1 wherein the dynamic receipt includes
information pertaining to environmental information of the
transaction.
8. The system of claim 7 wherein the dynamic receipt includes
physical coordinates/location of the transaction captured via a
Global Positioning System (GPS) receiver.
9. The system of claim 8 wherein the transaction engine records and
uses physical location of the point of sale to verify the
transaction.
10. The system of claim 7 wherein the transaction engine uses the
environmental information included in the dynamic receipt to assess
risk associated with the transaction.
11. The system of claim 1 wherein the dynamic receipt includes
photo and/or a video and/or an audio recording of the product or
service involved in the transaction or link/reference to such
data.
12. The system of claim 1 wherein the dynamic receipt includes
fingerprint or palm print of the buyer and/or merchant.
13. The system of claim 1 wherein the dynamic receipt includes
certain information associated with the transaction, wherein such
information includes how quickly the buyer swipes the card and the
angle at which the card is swiped.
14. The device of claim 1 wherein the dynamic receipt includes
special characteristics of the card being swiped.
15. The device of claim 1 wherein the dynamic receipt is in
electronic form that can be accessed electronically or online.
16. The device of claim 1 wherein the transaction engine uses
biometric information scanned and included in the dynamic receipt
for identity verification purposes to prevent identity theft and
credit fraud.
17. The device of claim 1 wherein the transaction engine uses the
dynamic receipt as a non-intrusive way to communicate with the
buyer and/or the merchant.
18. The device of claim 1 wherein the transaction engine notifies
the buyer and/or the merchant of the receipt via an electronic
message.
19. The device of claim 18 wherein the electronic message is one of
an email message, a Short Message Service (SMS) message, Twitter,
or other forms of electronic communication.
20. The device of claim 18 wherein recipient of the electronic
message retrieves a complete itemized dynamic receipt online via a
telephone number.
21. The device of claim 18 wherein the electronic message includes
an indication that a recipient of the electronic message can use to
retrieve the electronic receipt online as an alternative or in
combination with a telephone number.
22. A method, comprising: accepting information of a financial
transaction and card information used for the financial
transaction; communicating with third party financial institution
to authorize the transaction; capturing additional data associated
with the transaction; generating a dynamic receipt for the
transaction wherein the dynamic receipt incorporates the additional
data captured.
23. The method of claim 22, further comprising: recording and using
physical location of the point of sale included in the dynamic
receipt to verify the transaction.
24. The method of claim 22, further comprising: using the
environmental information included in the dynamic receipt to assess
risk associated with the transaction.
25. The method of claim 22, further comprising: using biometric
information scanned and included in the dynamic receipt for
identity verification purposes to prevent identity theft and credit
fraud.
26. The method of claim 22, further comprising: notifying the buyer
and/or the merchant of the receipt via an electronic message.
27. The method of claim 22, further comprising: retrieving a
complete itemized dynamic receipt online via a telephone
number.
28. The method of claim 22, further comprising: retrieving the
electronic receipt online using an indication included in the
electronic message as an alternative or in combination with a
telephone number.
Description
RELATED APPLICATIONS
[0001] This application claims priority to U.S. Provisional Patent
Application No. 61/278,930, filed Oct. 13, 2009, and entitled
"Dynamic receipt with environmental information," and is hereby
incorporated herein by reference.
[0002] This application is related to U.S. patent application Ser.
No. 12/456,134, filed Jun. 10, 2009, and entitled "Card reader
device for a cell phone and method of use," and is hereby
incorporated herein by reference.
BACKGROUND
[0003] Plastic cards having a magnetic stripe embedded on one side
of the card are prevalent in everyday commerce. These cards are
used in various transactions such as to pay for purchases by using
a credit card, a debit card, or a gasoline charge card. A charge
card or a debit card may also be used to transact business with a
bank through use of an automated teller machine (ATM). The magnetic
stripe card is capable of storing data by modifying the magnetism
of magnetic particles embedded in the stripe. The data stored on
the magnetic stripe may be sensed or read by swiping the stripe
past a read head. The analog waveform obtained by sensing the
magnetic stripe must undergo a process known as decoding to obtain
the digital information stored in the magnetic stripe of the
card.
[0004] Currently, there are hundreds of magnetic stripe
readers/swipers on the market, all of them are at least as long as
the credit card itself. These existing readers/swipers can be
classified as either platform card readers or plunge card readers.
Platform card readers are traditional card swipers with single
rails, which allow a card to be held against the base of the reader
by the user and moved across the read head of the reader. Plunge
swipers guide a card by two sets of rails and a backstop. Once the
user has inserted the card against the backstop, the card is read
as it is removed from the plunge swipers. Plunge swipers are common
on ATMs and other self-pay devices because they are less prone to
hacking.
[0005] Magnetic stripe cards having standard specifications can
typically be read by point-of-sale devices at a merchant's
location. When the card is swiped through an electronic card
reader, such as a platform card reader, at the checkout counter at
a merchant's store, the reader will usually use its built-in modem
to dial the number of a company that handles credit authentication
requests. Once the account is verified and an approval signal will
be sent back to the merchant to complete a transaction.
[0006] Although magnetic stripe cards are universally used by
merchants, there is no way for an individual to take advantage of
the card to receive a payment from another individual (who is not a
merchant) by swiping the card through a simple reader attached to
his/her mobile device. For a non-limiting example, one person may
owe another person money for a debt, and the conventional way to
pay the debt is to provide cash or a check. It would be convenient
to be able to use a credit card or a debit card to pay off the
debt. In addition, it is advantageous for an individual to make
payment to another individual or merchant by swiping his magnetic
stripe card through a reader connected to a mobile device.
[0007] The foregoing examples of the related art and limitations
related therewith are intended to be illustrative and not
exclusive. Other limitations of the related art will become
apparent upon a reading of the specification and a study of the
drawings.
BRIEF DESCRIPTION OF THE DRAWINGS
[0008] FIG. 1 depicts an example of a system diagram to support
financial transaction between a payer and a payee through a
miniaturized card reader connected to a mobile device.
[0009] FIG. 2 depicts an example of an external structural diagram
of a miniaturized card reader.
[0010] FIGS. 3(a)-(b) depict examples of actual card reader with
miniaturized design.
[0011] FIGS. 4(a)-(b) depict examples of alignment between read
head of the card reader and magnetic stripe of card being
swiped.
[0012] FIG. 5 depicts an example of a TRS connector as a part of
card reader.
[0013] FIGS. 6(a)-(c) depict examples of internal structures of a
miniaturized card reader.
[0014] FIGS. 7(a)-(b) depict examples of waveforms of data read
from one track of the magnetic stripe by read head when the card is
swiped through the slot of the card reader in the forward and
reverse directions, respectively.
[0015] FIG. 8 depicts a flowchart of an example of a process to
support swiping of a card with a magnetic stripe through a
miniaturized portable card reader.
[0016] FIG. 9 depicts an example of schematic diagram of passive ID
circuitry embedded in the card reader.
[0017] FIG. 10 depicts an example of schematic diagram that
contains additional components of passive ID circuitry 22 that
contribute to the user experience.
[0018] FIG. 11 depicts an example of an implementation for passive
ID circuitry 22 depicted in FIG. 10.
[0019] FIG. 12 depicts a flowchart of an example of a process to
deliver the unique ID to mobile device via the passive ID
circuitry.
[0020] FIG. 13 depicts an example of additional encryption and/or
decryption systems included in the passive ID circuitry for
encrypting and decrypting of unique ID of card reader.
[0021] FIG. 14 depicts a flowchart of an example of a process to
support decoding of incoming signals from swiping of a card with a
magnetic stripe through a miniaturized portable card reader.
[0022] FIG. 15 depicts a flowchart of an example of a process to
support financial transaction between a payer and a payee through a
miniaturized card reader connected to a mobile device.
[0023] FIGS. 16(a)-(f) depict screenshots of an example of a
financial transaction between a purchaser and a merchant through a
miniaturized card reader connected to a mobile device.
DETAILED DESCRIPTION OF EMBODIMENTS
[0024] The approach is illustrated by way of example and not by way
of limitation in the figures of the accompanying drawings in which
like references indicate similar elements. It should be noted that
references to "an" or "one" or "some" embodiment(s) in this
disclosure are not necessarily to the same embodiment, and such
references mean at least one.
[0025] A new approach is proposed that contemplates systems and
methods to enable an individual to complete a financial transaction
by swiping a magnetic stripe card through a card reader connected
to a mobile device. Here, the financial transaction can be any
transaction that involves receiving or sending payment from one
person to another. The magnetic stripe card can be but is not
limited to a credit card, a debit card, or other types of payment
authenticating pieces capable of carrying out the financial
transaction. The size of the card reader is miniaturized to be
portable for connection with the mobile device. The card reader is
configured to reliably read data encoded in a magnetic strip of the
card with minimum error in a single swipe and provide a signal that
corresponds to the data read to the mobile device, which then
decodes the incoming signal from the card reader and acts as a
point-of-sale device to complete the financial transaction. Such an
approach enables a person to become either a micro-merchant (payee)
or a buyer/customer (payer) without having to purchase expensive
card reader devices or software.
[0026] FIG. 1 depicts an example of a system diagram to support
financial transaction between a payer and a payee through a
miniaturized card reader connected to a mobile device. Although the
diagrams depict components as functionally separate, such depiction
is merely for illustrative purposes. It will be apparent that the
components portrayed in this figure can be arbitrarily combined or
divided into separate software, firmware and/or hardware
components. Furthermore, it will also be apparent that such
components, regardless of how they are combined or divided, can
execute on the same host or multiple hosts, and wherein multiple
hosts can be connected by one or more networks.
[0027] In the example of FIG. 1, the system includes a mobile
device 100, a miniaturized card reader 10 connected to mobile
device 100, a decoding engine 110, a user interaction engine 120,
and a transaction engine 130, all running on mobile device 100.
Additionally, the system may also include one or more of user
database 140, product or service database 150, and transaction
database 160, all coupled to the transaction engine 130.
[0028] As used herein, the term engine refers to software,
firmware, hardware, or other component that is used to effectuate a
purpose. The engine will typically include software instructions
that are stored in non-volatile memory (also referred to as
secondary memory). When the software instructions are executed, at
least a subset of the software instructions is loaded into memory
(also referred to as primary memory) by a processor. The processor
then executes the software instructions in memory. The processor
may be a shared processor, a dedicated processor, or a combination
of shared or dedicated processors. A typical program will include
calls to hardware components (such as I/O devices), which typically
requires the execution of drivers. The drivers may or may not be
considered part of the engine, but the distinction is not
critical.
[0029] As used herein, the term database is used broadly to include
any known or convenient means for storing data, whether centralized
or distributed, relational or otherwise.
[0030] In the example of FIG. 1, mobile device 100 to which the
portable card reader 10 is connected to can be but is not limited
to, a cell phone, such as Apple's iPhone, other portable electronic
devices, such as Apple's iPod Touches, Apple's iPads, and mobile
devices based on Google's Android operating system, and any other
portable electronic device that includes software, firmware,
hardware, or a combination thereof that is capable of at least
receiving the signal, decoding if needed, exchanging information
with a transaction server to verify the buyer and/or seller's
account information, conducting the transaction, and generating a
receipt. Typical components of mobile device 100 may include but
are not limited to persistent memories like flash ROM, random
access memory like SRAM, a camera, a battery, LCD driver, a
display, a cellular antenna, a speaker, a Bluetooth circuit, and
WIFI circuitry, where the persistent memory may contain programs,
applications, and/or an operating system for the mobile device.
Miniaturized Card Reader
[0031] In the example of FIG. 1, miniaturized card reader 10 is
configured to read data encoded in a magnetic strip of a card being
swiped by a buyer and send a signal that corresponds to the data
read to mobile device 100 via a signal plug 18. The size of card
reader 10 miniaturized to be portable for connection with mobile
device 100. For a non-limiting example, the size of card reader 10
can be miniaturized to an overall length of less than 1.5''. In
addition, the miniaturized card reader 10 is also designed to
reliably read the card with minimum error via a single swipe by
counteracting vendor specific filtering done by mobile device 100.
Note that this broad overview is meant to be non-limiting as
components to this process are represented in different
embodiments. For instance the decoding engine 110 can be embedded
in the card reader 10 as shown in FIG. 13 as the decoding system
42. FIG. 2 depicts an example of an external structural diagram of
miniaturized card reader 10. Although the diagrams depict
components as functionally separate, such depiction is merely for
illustrative purposes. It will be apparent that the components
portrayed in this figure can be arbitrarily combined or divided
into separate software, firmware and/or hardware components.
[0032] In the example of FIG. 2, miniaturized card reader 10 is
shown to comprise at least a housing 12 having a slot 14, a read
head 16 embedded on a wall of slot 14, a signal plug 18 extending
out from the housing 12, and an optional passive ID circuit 22.
FIG. 3(a) depicts an example of an actual card reader with
miniaturized design and FIG. 3(b) depicts other examples of
miniaturized card reader with width around 0.5''.
[0033] In the example of FIG. 2, housing 12 of card reader 10 is
designed to be asymmetrical with respect to slot 14, with texture
such as logo on one side of the housing that can be felt and
recognized by a user with a touch of a finger. For correct swiping
of the card, the texture side of housing 12 should match with the
texture (front) side of the card, so that a user can easily
identify the right side of the reader to swipe the card through
slot 14 without actually looking at the reader or card. Even a
blind person is able to swipe the card correctly by matching the
texture side of the reader with the texture side of the card.
[0034] In the example of FIG. 2, the slot 14 is wide enough and
deep enough to accept a card having a magnetic stripe so that the
stripe will fit within the slot 14. More importantly, the slot 14
is configured to reduce the torque applied on the reader 10 when
the card is swiped through slot 14 in order to maintain accuracy
and reliability of the data read by read head 16. Since the size of
card reader 10 is miniaturized, slot 14 also has a length that is
significantly less than the length of the card to be inserted into
the slot 14.
[0035] To correctly read the data on the magnetic stripe of the
card, the read head 14 must maintain contact with the stripe as the
card moves past slot 14. If the card rocks during the swipe, the
alignment of the head 12 with the stripe may be compromised. As the
length of the slot 14, i.e., the card path through which the card
swiped though slot 14, is shortened, rocking and head alignment may
become significant issues. As shown in FIG. 4(a), if the magnetic
stripe card is swiped through without the base of the card resting
against the flat bottom piece, the magnetic stripe will not align
with the read head 16 when the card is swiped through slot 14
having a flat base 15.
[0036] In some embodiments, the base 15 of slot 14 can be changed
from flat to a curved base with a radius in order to increase
contact between the read head 14 and the magnetic stripe to address
the rocking problem. As shown in FIG. 4(b), the read head 16 can
maintain contact with the magnetic stripe, even with some
additional error due to the gradation of contact introduced by the
curved base 15.
[0037] FIG. 5 depicts an example of signal plug 18 as part of card
reader 10. Here, signal plug 18 can be but is not limited to a TRS
(tip, ring, sleeve) connector also known as an audio plug, phone
plug, plug plug, stereo plug, mini-plug, or a mini-stereo audio
connector. The signal plug 18 may be formed of different sizes such
as miniaturized versions that are 3.5 mm or 2.5 mm.
[0038] In some embodiments, signal plug 18 may be retractable
within the housing 12. In some embodiments, signal plug 18 is
configured to extend beyond housing 12 of the reader in order to
accommodate connection with mobile devices 100 having cases or
having a recessed plug-in socket, wherein the socket can be but is
not limited to a microphone input socket or a line in audio input
of the mobile device.
[0039] In some embodiments, housing 12 of card reader 10 is made of
non-conductive material such as plastic so that the reader will not
interfere with the function of mobile device 100 it is connected
with. Such choice of material is important since the outer case of
certain mobile devices, such as iPhone 4, is conductive and serves
as an antenna for the device, which function could potentially be
interfered with if the metal case of the device gets in touch with
the housing of a card reader made of conductive material.
[0040] FIG. 6(a) depicts an example of an internal structural
diagram of a miniaturized card reader. Although the diagrams depict
components as functionally separate, such depiction is merely for
illustrative purposes. It will be apparent that the components
portrayed in this figure can be arbitrarily combined or divided
into separate software, firmware and/or hardware components.
[0041] In the example of FIG. 6(a), the internal structure inside
housing 12 of card reader 10 is shown to comprise at least a read
head 16 with embedded circuitry, and a spring structure 20 to
support read head 16. FIG. 6(b) depicts an example of an internal
structure an actual miniaturized card reader. FIG. 6(c) depicts an
example of separated components of read head 16 and spring
structure 20 used in the actual miniaturized card reader.
[0042] In the example of FIGS. 6(a)-(c), read head 16, which for a
non-limiting example, can be an inductive pickup head, detects and
provides data stored in the magnetic stripe of a card to a
connected mobile device 100. More specifically, as the magnetic
stripe of a card is swiped through slot 14 and in contact with read
head 16, the card reader device 10 reads one or more tracks of data
or information stored in the magnetic stripe of the card via the
detection circuitry embedded inside the read head. Here, data
stored in the magnetic stripe may be in the form of magnetic
transitions as described in the ISO 7811 standards. As the card
moves past the read head 16, magnetic transitions representing data
induce a voltage or waveform in a coil (not shown) of read head 16
due to such relative movement between read head 16 and the stripe
(called the Hall Effect), wherein a resistor (not shown) inside
read head 16 sets the amplitude of the waveform. This waveform is
sent via the signal plug 18 into the socket which is registered by
the microphone of the mobile device 100 connected with card reader
10.
[0043] In some embodiments, read head 16 in card reader is capable
of reading only one track of data (either track 1 or 2, but not
both) from the magnetic stripe in order to reduce the size and
structural complexity of compact read head 16 as only one pin needs
to be included in the read head. FIGS. 7(a)-(b) depict examples of
waveforms of data read from track 1 (instead of both tracks 1 and 2
as by a traditional read head) of the magnetic stripe by read head
16 when the card is swiped through slot 14 in the forward and
reverse directions, respectively.
[0044] In some embodiments, the size or thickness of the housing 12
of card reader 10 is configured to be narrow enough to accommodate
only a single read head 16. Such design is intended to be
tampering-proof so that even if the housing 12 is tampered with, no
additional circuitry can be added to the card reader 10 and such
tampering will render the card reader non-functional.
[0045] In the example of FIGS. 6(a)-(c), spring structure 20 is a
flexible spring mounting to read head 16 without a screw, causing
the read head to be suspended to housing 12 of card reader 10.
Here, spring 20 can either be connected to housing 12 via screws or
welded to plastic housing 12 without using any screws. As the card
moves past the read-head 16 on the miniaturized card reader, any
card bending or misalignment may cause the read head to lose
contact with the magnetic stripe. Spring 20 allows suspended read
head 16 to swivel while maintaining contact pressure to track the
stripe of the card being swiped. Spring 20 is designed to be
sufficiently small to fit within the miniaturized card reader 10,
yet powerful enough to maintain good contact during the stripe.
Unlike traditional spring structures, spring 20 positions the
supports for read head 20 inside the overall form of the spring,
which allows the spring to flex without having to make one support
moveable.
[0046] FIG. 8 depicts a flowchart of an example of a process to
support swiping of a card with a magnetic stripe through a
miniaturized portable card reader. Although this figure depicts
functional steps in a particular order for purposes of
illustration, the process is not limited to any particular order or
arrangement of steps. One skilled in the relevant art will
appreciate that the various steps portrayed in this figure could be
omitted, rearranged, combined and/or adapted in various ways.
[0047] In the example of FIG. 8, the flowchart 800 starts at block
802 where a miniaturized card reader is structured to provide
sufficient contact between a read head and the magnetic stripe
during a swipe of a card. The flowchart 800 continues to block 804
where a card with a magnetic stripe is swiped through a slot of the
miniaturized card reader. The flowchart 800 continues to block 806
where the read head reliably reads data stored in the magnetic
stripe and generates an analog signal or waveform indicative of
data stored in the magnetic stripe. The flowchart 800 continues to
block 808 where amplitude of the waveform is set by the circuitry
inside the read head. The flowchart 800 ends at block 810 where the
set waveform is provided to a mobile device 100 connected with the
miniaturized card reader via the signal plug 18.
Passive ID Circuit
[0048] In some embodiments, housing 12 of card reader 10 may
further encapsulate a passive ID circuitry 22 powered by the mobile
device 100 through signal plug 18, wherein passive ID circuitry 22
delivers an unique ID of the card reader to mobile device 100 only
once upon the card reader being connected to (and powered up by)
the mobile device. Although both are integrated in the same housing
12, passive ID circuitry 22 functions independently and separately
from read head 18 without interfering with the read head's card
swiping functions described above.
[0049] FIG. 9 depicts an example of schematic diagram of passive ID
circuitry embedded in the card reader. In the example of FIG. 9,
passive ID circuitry 22 may comprise at least five main
subsystem/components: unique ID storage 24, communication subsystem
26, which reads and transmits the unique ID from unique ID storage
24, power subsystem 28, which provides power to enable
communication with mobile device 100, a pathway subsystem 30 to
route signals to signal plug 18 through the circuitry, and a
control unit 32, to orchestrate the communication between different
systems. All of these subsystems can be implemented in hardware,
software or a combination thereof. Communication subsystem 26,
power subsystem 28, and read head 16 share the same signal plug 18
for connection with the mobile device. The components portrayed in
this figure can be arbitrarily combined or divided into separate
software, firmware and/or hardware components.
[0050] In the example of FIG. 9, unique ID storage 24 is memory
containing the Unique ID of the card reader. The unique ID storage
24 can be any persistent memory containing bytes that can be
accessed by the communication subsystem 26.
[0051] In the example of FIG. 9, the power subsystem 28 comprises
of a modified charge pump, which utilizes a digital circuit to
artificially raise the voltage of a power source to a higher level.
Normal charge pump operation requires large current which is then
fed into several capacitors, and switching logic switches the
capacitors between series and parallel configurations. In the
example of FIG. 10, the power source is a bias voltage provided by
the mobile device meant for detection of a connected component. It
is nominally 1.5V and is supplied through a 2 k.OMEGA. resistor,
resulting in a maximum current of 750 .mu.A. Details of how the
power subsystem 28 function is described in FIG. 11.
[0052] In standard operation the pathway subsystem 30 is configured
to direct the mobile device's 100 bias voltage to the power
subsystem 28. After the power subsystem converts the bias voltage
to a system voltage, the control unit 32 is able to operate.
Control unit 32 configures the pathway subsystem 30 to allow the
communication subsystem 26 access to the mobile device 100. The
communication subsystem 26 relays the unique ID from the unique ID
storage 24. The control unit 32 then configures the pathway
subsystem 30 to allow the card reader circuit 16 access to the
mobile device 100.
[0053] FIG. 10 depicts an example of schematic diagram that
contains additional components of passive ID circuitry 22 that
contribute to the user experience. These additional systems prevent
the mobile device 100 from perceiving that the card reader 10 has
been disconnected during power cycles. These additional systems
also ensure that the unique ID sent from unique ID storage 24 is
sent as specified by the designer. This extra feature set comprises
of a discharge subsystem 34 to force the device to power cycle, a
fake load 36 so the mobile device 100 does not perceive a
disconnect, and a monitor system 38 to manage card reader 10
behavior between power cycles.
[0054] In the example of FIG. 10, communication subsystem 26
comprises a signal driver connected with control unit 32 and unique
ID storage 24. In a non-limiting embodiment of a system which sends
an ID only once to a mobile device 100, after the control unit 32
boots up, communication subsystem 26 will check a status bit in the
monitor subsystem 38. The first time this process occurs, the
status bit will be not set. When the status bit is not set the ID
is sent immediately. FIG. 12 contains a detailed flowchart of a
non-limiting example of this process. In one embodiment the control
unit 32 will write to the status bit in monitor subsystem 38. It
will then use the discharge system 34 to reset itself. During this
time the pathway subsystem 30 will be configured to direct the
signal path to the fake load preventing the mobile device 100 from
detecting a disconnect with the card reader 10. Once the power
subsystem 28 has completed its power cycle, the control unit 32
will read the status bit. Upon seeing that the status bit is
cleared it will configure the pathway subsystem 30 to direct the
signal path to the card reader circuit 16. The control unit 32 will
then put the system into an extremely low power state (from here
referred to as a sleep state). Only the monitoring subsystem 38
will remain active. The monitor subsystem 38 will wake the system
from the sleep state at some time (time depending on
implementation) before a power cycle. The control unit 32 will
notified of the system awakening by the monitoring subsystem 38.
The control unit 32 will then set the status bit on the monitor
subsystem 38 only if there is a voltage detected on the fake load
indicating the reader is still connected. The control unit 32 will
then force a power cycle.
[0055] FIG. 11 depicts an example of an implementation for passive
ID circuitry 22 depicted in FIG. 10. In some embodiments, power
subsystem 28 has multiple capacitors in parallel. A voltage breaker
(e.g., zener diode etc) and a latch are used to trigger the
transition between parallel and series configurations. Once the
latch is flipped, power subsystem 28 will remain in series
configuration until the combined voltage drops bellow the CMOS
trigger gate voltage at about 0.4V. At this time the passive ID
circuitry 22 will reset and the unique ID delivery process will
begin again
[0056] In the example of FIG. 11, pathway subsystem 30 comprises a
plurality of latches controlled by control unit 32 for switching
among various subsystems of passive ID circuitry 22. When passive
ID circuitry 22 is in operation, the default configuration
allocates the output signal through signal plug 18 to modified
charge pump of power subsystem 28. After the latch to turn off
modified charge pump 28 is triggered, control unit 32 will route
signal plug 18 from read head 16 to communication subsystem 26 and
transmit the unique ID through signal plug 18 after checking the
status bit in unique ID storage 24. Pathway subsystem 30 will then
write to the status bit in unique ID storage 24 and discharge the
power subsystem 28. FIG. 12 depicts a flowchart of an example of a
process to deliver the unique ID to mobile device 100 via the
passive ID circuitry 22.
[0057] In some embodiments, passive ID circuitry 22 may further
include additional encryption and/or decryption systems as shown in
FIG. 13 for encrypting and decrypting of unique ID of card reader
10. In the example of FIG. 13, the decoding system 42 and
encryption system 40 can both use the control unit 32 from the
passive ID circuitry 22 to communicate with the mobile device 100
over the communication subsystem 26.
Signal Decoding
[0058] Once card reader 10 provides the set waveform to the
attached mobile device 100, the incoming signals (waveform) may be
amplified, sampled, and converted to a stream of digital values or
samples by decoding engine 110 running via a microprocessor inside
the mobile device. Here, decoding engine 110 may comprise a
pipeline of software decoding processes (decoders) to decode and
process the incoming signals as described below, where each
software process in this pipeline can be swapped out and replaced
to accommodate various densities of track data read in order to
reduce card swipe error rate. The incoming signals may be of low
quality due to one or more of: low quality of data read from a
single and/or low density track of a magnetic stripe of the card,
sampling speed limitations of the microphone input socket of the
mobile device, and noise introduced into the mobile device 100 from
card reader 10. FIG. 14 depicts a flowchart of an example of a
process to support decoding of incoming signals from swiping of a
card with a magnetic stripe through a miniaturized portable card
reader.
[0059] In the example of FIG. 14, the flowchart 1400 starts at
block 1402 where decoding engine 110 initializes its internal state
by waiting for the system voltage to reach a steady state. Upon
initial connection of a card reader, there is usually a burst of
signal due to feedback caused by slight impedance mismatches and
the presence of non-linear elements like the read head. After at
least 3 time constants, the signal is determined to be in a steady
state. During such initialization phase, the DC offset of the
incoming signals are computed when the mobile device is first
connected to the card reader over signal plug 18. In some
embodiments, initialization goes through at least the following
steps: [0060] 1. Take one system buffer of audio signal and compute
the DC offset of this buffer. [0061] 2. Save the computed DC
offset. [0062] 3. Compute the average of the last three DC offsets.
[0063] 4. Compute the variance of the current DC offset from the
average computed in step 3.
[0064] The following values presented were found to be optimum for
performance in the decoding system. In the spirit of full
disclosure they have been provided here to allow someone trained in
the arts to be able to replicate this process. It is fully realized
that many other values can be used here and depending on hardware
implementation. The values here are meant to be non-limiting. If
the variance computed in step 4 is less than the variance
threshold, 0.06% of full scale or less than the offset percentage,
10% of the offset average computed in step 3, and the DC offset
computed in step 1 is less than the noise ceiling, 3% of full
scale, of the mobile device 100. After initialization is complete,
decoding engine 110 can proceed to process the incoming signals to
detect the swipe of the card. Otherwise, Steps 1-4 need to be
repeated.
[0065] The flowchart 1400 continues to block 1404 where decoding
engine 110 detects the card swipe once the incoming signals are in
a steady state. This signal detection phase processes the incoming
signals in steady state in order to detect the presence of a swipe
of a card through the card reader. The signal detection phase is a
light-weight procedure that operates at near real time. It parses
the incoming signals quickly and stitches multiple system buffers
of signals together to form a signal of interest. In some
embodiments, the signal detection process goes through at least the
following steps: [0066] 1. Apply a software upscale of system
buffers of the incoming signals. [0067] 2. Begin taking buffers of
incoming signals and look for points that exceed a minimum signal
amplitude threshold, which is a hardware-based parameterization
found empirically. [0068] 3. Set a flag that triggers the detection
of a swipe once a single point that exceeds the threshold is
detected. [0069] 4. Once the flag triggered, the incoming signal is
appended to a larger buffer until the signal drops below a minimum
signal amplitude threshold for a certain period of time, e.g., 10
ms. [0070] 5. Trim the last 10 ms of data to reduce the amount of
signal data to be processed later. [0071] 6. Check to see if at
least a certain number of samples have been collected in the buffer
to make sure that there are enough information for later decoding.
This number is parameterized based on the hardware of the mobile
device used.
[0072] Alternatively, a hardware independent swipe detection
process can be utilized to capture the signal of interest via Fast
Fourier Transform (FFT), while trimming the front and back of the
signal. Such process would include at least the following steps:
[0073] 1. Retrieve system buffers of incoming signals and keep a
certain number of buffers of history of the signals. [0074] 2.
Compute the frequency distribution of the signal history kept via
FFT. [0075] 3. Locate two maxima in the histogram and check if one
maximum is located at 2.times. the frequency of the other maximum.
If this condition is satisfied, continue to add on buffers of
history that exhibit such behavior. [0076] 4. Once such behavior
has stopped, begin removing signals from the beginning and ending
of the signals in the buffers until SNR is maximized, wherein SNR
is defined to be the two maxima's amplitudes that are greatest from
the next maximum.
[0077] The flowchart 1400 continues to block 1406 once a card swipe
is detected to be present where decoding engine 110 identifies
peaks in the incoming signals. Peak detection is the most complex
portion of decoding of incoming signals from credit card swipes,
and credit card swipe decodes have traditionally not been done on
heavily filtered signals like the signal that enters through the
TRS plug, since most mobile device manufacturers assume the
incoming signal is audio based. This results in a wide variety of
signal filtering that peak detection must account for. Different
peak detection approaches discussed below can be utilized by the
microprocessor to perform peak detection in the incoming signals in
different ways, all applying a basic, moving average low-pass
filter to smooth out some of the high frequency noise in order to
overcome the low quality data read, sampling speed limitations of
the mobile device, and the noise introduced into the mobile
device.
Reactive Peak Detection
[0078] Reactive peak detection is a heuristics based approach for
peak detection, which is well suited for situations where the
incoming signals from the card swipe is not excessively distorted
by the mobile device's filter circuitry. This approach utilizes at
least the following steps to detect signal peaks: [0079] 1. Seed an
adaptive positive and adaptive negative threshold with an ambient
noise value that is dependent on the hardware of the mobile device.
These thresholds will be used for initial peak detection. [0080] 2.
Begin processing through the sample buffer, and for each sample in
the buffer: [0081] 3. Wait for the threshold to be crossed again
when either the negative or positive threshold is crossed, except
with a hysteresis factor applied to the threshold for the second
crossing. The hysteresis factor is key in making this approach
resistant to ringing in the incoming signals, which is associated
with the active filter(s) of the platform hardware. [0082] 4. Begin
looking for slope changes within this time frame once the two
samples where the threshold is crossed have been established.
[0083] 5. If more than one slope change is found, compute the
midpoint of the two samples. [0084] 6. If only a single slope
change is detected, then [0085] a. Pick the maximum point for the
slope change. [0086] b. Compare the peak's amplitude to the
previously found peak's amplitude (if this has been established).
[0087] c. Skip the current peak and move on if its amplitude is
greater than (([full scale]-[current peak amplitude])/([full
scale]*100)+100) % of the previous peak's amplitude. [0088] 7. If
the prior step did not result in skipping of the peak, check the
peak's polarity against the previous peak's polarity. [0089] a. If
the peak's polarity is the same as the previous peak's polarity,
then remove the previous peak and put the current peak in its
place. [0090] b. If the polarity of the current peak has changed,
then simply add the current peak to the list of peaks. This step is
another key component for making this approach resistant to
ringing. [0091] 8. Upon the finding of a peak, update the adaptive
threshold of the corresponding polarity as the polarity of the peak
just found and the amplitude to be a percentage of this peak's
amplitude. Here, the percentage is a parameter varied by the
detection approach being used, since higher values more accurately
detects peaks, but are not as resistant to noise, while lower
values are more resistant to noise, but may pick up errant peaks
associated with ringing.
Predictive Peak Detection
[0092] Predictive peak detection defers the heavy processing to the
digitizing stage of decoding. Predictive peak detection is highly
resistant to scratches in the card that could cause low quality or
false peak information to manifest in the incoming signals. This
approach is more memory intensive than the reactive peak detection
approach since more peaks are stored. The approach utilizes at
least the following steps to detect signal peaks: [0093] 1. Seed a
positive and adaptive negative threshold with an ambient noise
value that is dependent on the hardware of the mobile device.
[0094] 2. Begin going through the sample buffer. For each sample in
the buffer: [0095] 3. Begin waiting for the slope to change when
either the positive of negative threshold is crossed. [0096] 4.
When the slope changes, store the current sample as a peak.
Maxima Peak Detection
[0097] Maxima peak detection detects peaks by looking for local
maxima and minima within a window of digital samples. If either of
these is at the edges of the window of samples, then the approach
skips the window and moves to the next window to look for local
maxima and minima. These local maxima and minima are then stored
into a list of peaks.
[0098] The flowchart 1400 continues to block 1408 where decoding
engine 110 identifies the track from which data of the incoming
signals are read through the swipe of the card via the card reader.
Traditionally, track 1 and track 2 came off of different pins on
the read head of a card reader, and so there was no need to guess
which track is being read. Since read head 16 in card reader is
capable of reading only one track of data from the magnetic stripe,
track identification becomes an important issue. This track
identification process is run by detection engine 110 after peaks
are detected to guess and recognize the track (track 1 or track 2)
from which the data is read by card reader by inferring a range of
peaks to be expected for signals coming from each track. Since
track 1 is known to be much denser in data than track 2, it is thus
reasonable to expect more peaks to be identified in data coming
from track 1. Although this process is not a definitive guess, it
yields the correct track value 99.9% when coupled with the peak
detection algorithms described herein in testing. Alternatively,
track guessing can be based on the number of bits found in the
digital signals after the digitizing stage of decoding. When a
decoder fails due to guessing the wrong track (since track
identification affects how the bits from the digital signals are
framed and matched against character sets), the decoder may simply
choose another track type, though this makes the card processing
more processor intensive.
[0099] The flowchart 1400 continues to block 1410 where decoding
engine 110 digitizes the identified peaks in the incoming signals
into bits. The digitizing process takes the given peak information
turns them into binary data and appends them to an array of digital
bits. There are two types of digitizers: reactive digitizing and
predictive digitizing.
Reactive Digitizing
[0100] Reactive digitizing takes the given peak information as
fact, and attempts to convert them into 1s and 0s in the following
steps: [0101] 1. Go through all peak information. For each peak:
[0102] 2. Identify the distance between each pair of adjacent
peaks. [0103] 3. If these distances are similar (e.g., based on a
parameter for finding a series of peaks that are equidistant from
each other), begin looking for 1s and 0s. The initial peaks always
represent zeros, since the credit card is padded with zeros at the
front and back of the signal. [0104] 4. Once equidistant peaks are
found, identify the number of samples between peaks, which is the
number of samples that roughly equate to a bit. [0105] 5. Examine
the number of samples between the current peak and the next peak.
[0106] 6. Examine the number of samples between the current peak
and the peak after the next. [0107] 7. Compare the results from
Steps 5 and 6 against the value from Step 4: [0108] a. If the
result from Step 5 is closer to the value from Step 4, then
identify the bit found as a 0. [0109] b. If the result from Step 6
is closer, then identify the bit found as a 1. [0110] c. Tie
breaking: if the distances are equal and the next two peak
amplitudes are smaller than the current peak amplitude, then
identify the bit found as a 1. Otherwise, identify the bit found as
a 0. [0111] 8. Once the peak is determined, update the bit length
based on the peak found: if the peak found was a 0, update with the
value of Step 5; otherwise, use the value of step 6.
Predictive Digitizing
[0112] Predictive digitizing of detected peaks in the incoming
signals does not treat the list of peaks as facts. It first finds
bit length, and then seeks to a point in the peak list where the
next relevant peak should be. Once it reaches this location, it
then searches before and after the location for the nearest peak.
The process then checks the polarity of this peak compared to the
previous peak examined. If the polarities are the same, the bit
found is identified as a 1. Otherwise, it is identified as a 0.
This method of digitizing a peak list is effective in that it
simply ignores any information that is likely irrelevant.
[0113] The flowchart 1400 ends at block 1412 where decoding engine
110 converts the array of digitized bits into words of card
information. This converting process locates the bit sequence that
is the start sentinel in the array. At that point, it takes frames
of bits (e.g., 5 bits for track 2, 7 bits for track 1) and decodes
them based on a symbol table. Along the way, the process constantly
checks for parity and the LRC at the end to ensure the data is
correct. If there are any errors in parity, LRC, or track length,
blocks 1406-1412 may be repeated with a different set of parameters
to get the correct signal data.
[0114] When a card swipe begins, decoding engine 110 can combine
various peak detectors and digitizers discussed above in order to
cover various ranges of degradation in quality of the analog input
signal generated by card reader 10. In some embodiments, different
process combinations and parameters can be chosen and optimized
depending on the hardware platform of the mobile device. These
combinations and parameter values can be pre-determined based on
experimentation and testing and initialized upon starting of the
decoding process. The decoding then runs through all processes
specified and runs certain specific processes multiple times in
order to get the correct signal. Such decoding process allows
automatic scaling and adjustment during each run to account for
different amounts of noise, sampling speed variations, signal
ringing, and swipe direction.
Card Present Transaction without Information Sharing
[0115] In the example of FIG. 1, user interaction engine 120 is a
software application running on mobile device 100 associated with a
payee (merchant) that enables the payer (buyer) and the merchant to
interact with transaction engine 130 to complete a financial
transaction. More specifically, it may take input of information
related to the financial transaction from the buyer and/or the
merchant, provide such input to transaction engine to initiate and
complete the transaction, and present the result of the transaction
to the buyer and the merchant. Here, the input of information
accepted by user interaction engine 120 may include but is not
limited to one or more of: amount of the transaction, including
list price and optionally tips, additional notes related to the
transaction such as written description and/or pictures of the item
to be purchased, authorization and/or signature of the buyer.
[0116] In some embodiments, other than the conventional keyboard,
user interaction engine 120 may utilize a touch screen of mobile
device 100 to enable the buyer and the merchant to input numbers,
characters, and signatures by touching the screen via a stylus or a
finger.
[0117] In some embodiments, in addition to the result of the
transaction, user interaction engine 120 may also present products
or services provided by the merchant to the buyer in combination of
one or more of text, pictures, audio, and videos, and enable the
buyer to browse through the products and services on the mobile
device to choose the one he/she intended to purchase. Such product
information can be stored and managed in product database 150.
[0118] In the example of FIG. 1, transaction engine 130 takes as
its input the decoded credit card information from decoding engine
110 and transaction amount from user interaction engine 120.
Transaction engine 130 then contacts third party financial
institutions such as an acquiring bank that handles such
authorization request, which may then communicate with the card
issuing bank to either authorize or deny the transaction. If the
third party authorizes the transaction, then transaction engine 130
will transfer the amount of money deducted from the account of the
card holder (e.g., the buyer) to an account of the merchant and
provide the transaction results to user interaction engine 120 for
presentation to the buyer and the merchant. In this manner, the
merchant may accept a payment from the buyer via card reader 10 and
mobile device 100.
[0119] In the example of FIG. 1, although mobile device 100 is
associated with the merchant, transaction engine 130 running on
mobile device 100 protects the privacy of the buyer/payer during
the card-present transaction by taking card information from the
buyer directly from decoding engine 110 and do not share such
information with the merchant via user interaction engine 120.
Here, the card information that are not shared with the merchant
includes but is not limited to, card number, card holder's name,
expiration date, security code, etc. In essence, transaction engine
130 serves as an intermediary between the buyer and the merchant,
so that the buyer does not have to share his/her card information
with the merchant as in a typical card-present transaction or an
online transaction. Still, the buyer is able obtain an itemized
receipt for the transaction completed as discussed later.
[0120] In some embodiments, although transaction engine 130 does
not share card information of the buyer to the merchant, it may
present identity information of the buyer, such as a picture of the
buyer on record in user database 140, with the merchant via user
interaction engine 120 so that merchant can reliably confirm the
identity of the buyer during the card-present transaction to
prevent credit fraud.
[0121] In the example of FIG. 1, user database 140, product
database 150, and transaction database 160 can be used to store
information of buyer and the merchant, products and services
provided by the merchant, and transactions performed, respectively.
Here, user information (e.g., name, telephone number, e-mail, etc.)
can be obtained through online user registration and product
information can be provided by the merchant, while transaction
database 160 is updated every time a transaction is processed by
the transaction engine 130. Information stored can be selectively
accessed and provided to the buyer and/or merchant as
necessary.
[0122] In the example of FIG. 1, transaction engine 130
communicates and interacts with the third party financial
institution, user database 140, product database 150, and
transaction database 160 over a network (not shown). Here, the
network can be a communication network based on certain
communication protocols, such as TCP/IP protocol. Such network can
be but is not limited to, internet, intranet, wide area network
(WAN), local area network (LAN), wireless network, Bluetooth, WiFi,
and mobile communication network. The physical connections of the
network and the communication protocols are well known to those of
skill in the art.
Dynamic Receipt
[0123] In various embodiments, upon the completion of a financial
transaction through, for a non-limiting example, card reader 10
connected to mobile device 100 associated with a merchant,
transaction engine 130 running on the mobile device 100 can be
configured to capture additional data associated with the
transaction and incorporate the additional data into a dynamic
receipt for the transaction, wherein in addition to transaction
information typically included in a conventional receipt, the
dynamic receipt may also include additional environmental
information of the transaction. For non-limiting examples, the
financial transaction can be an electronic transaction conducted
over the Internet or a card present point-of-sale transaction where
the buyer/payer makes the purchase at a store front, other
"brick-and-mortar" location, or simply in presence of a
merchant/payee.
[0124] In some embodiments, the additional environmental
information included in the dynamic receipt may include information
pertaining to the transaction environment. In one non-limiting
example, a mobile device equipped with a Global Positioning System
(GPS) receiver can be used to capture the coordinates/location of
the transaction, and record it as a part of the information on the
dynamic receipt. This way, the physical location of the point of
sale (which may be different from the merchant/payee's registered
address) can be recorded and used by transaction engine 120 to
verify the transaction. In another non-limiting example, a mobile
device equipped with a camera and/or audio and/or video recorder
can be used to capture a photo and/or a video and/or an audio
recording of the product or service involved in the transaction and
incorporate such data or link/reference to such data into the
dynamic receipt. In another non-limiting example, a mobile device
with a biometric scanner can be used to scan the fingerprint or
palm print of the buyer/payer and/or merchant/payee and includes at
least a portion of such information in the dynamic receipt. In
another non-limiting example, the mobile device can record certain
information associated with the transaction in the dynamic receipt,
wherein such information includes but is not limited to, how
quickly the buyer swipes the card, the angle at which the card is
swiped. In another non-limiting example, special characteristics of
the card being swiped, also referred to as the magnetic fingerprint
of the card, can be recorded and included in the dynamic
receipt.
[0125] In some embodiments, the dynamic receipt can be in
electronic form that can be accessed electronically or online and
may also include link or reference pointing to multimedia
information such as image, video or audio that are relevant to the
transaction.
[0126] In some embodiments, transaction engine 130 can use the
environmental information included in the dynamic receipt to assess
risk associated with a transaction. For a non-limiting example, if
the GPS information indicates that the transaction is taking place
in a high crime/high risk area, the risk associated with the
transaction is adjusted accordingly, and the buyer's bank may be
notified accordingly. Alternatively, biometric information scanned
and included in the dynamic receipt can be used for identity
verification purposes to prevent identity theft and credit
fraud.
[0127] In some embodiments, transaction engine 130 can use the
dynamic receipt can be used as a non-intrusive way to communicate
with the buyer and/or the merchant. For a non-limiting example, the
additional information included in the dynamic receipt can be used
to make offers to the buyer. If a dynamic receipt includes the GPS
location of the point of sale of the transaction, coupons or other
promotional offers made by vendors at nearby locations can be
presented to the buyer when the buyer chooses to view the receipt
electronically online. Alternatively, if a specific product
involved the transaction can be identified by the transaction
engine either directly through product description or indirectly by
analyzing pictures or videos taken, offers of similar or
complementary products can be made by a vendor to the merchant of
the product.
[0128] In some embodiments, transaction engine 130 may notify buyer
and/or the merchant of the receipt via an electronic message, which
can be but is not limited to, an email message, a Short Message
Service (SMS) message, Twitter, or other forms of electronic
communication. The recipient of the electronic message may then
retrieve a complete itemized dynamic receipt online at his/her
convenience via a telephone number on his/her record in user
database 140 to retrieve his/her electronic receipts stored in
transaction database 160. In some embodiments, the electronic
message may include an indication such as a code that the recipient
can use to retrieve the electronic receipt online as an alternative
or in combination with the telephone number.
[0129] FIG. 15 depicts a flowchart of an example of a process to
support financial transaction between a payer and a payee through a
miniaturized card reader connected to a mobile device. In the
example of FIG. 15, the flowchart 1500 starts at block 1502 where
an amount of a financial transaction is provided through an
interactive user application launched on the mobile device as shown
in FIG. 16(a). The flowchart 1500 continues to block 1504 where a
miniaturized card reader structured to minimize swipe error is
connected to the mobile device as shown in FIG. 16(b). The
flowchart 1500 continues to block 1506 where a card is swiped
through the card reader to initiate the financial transaction as
shown in FIG. 16(c). The flowchart 1500 continues to block 1508
where the payer confirms the amount of the card-present transaction
via a signature signed via the interactive user application on the
mobile device to complete the transaction as shown in FIG. 16(d).
Note that the signature is required as an additional layer of
confirmation for the protection for the payer even when such
signature may not be technically required to authorize the
transaction. The flowchart 1500 continues to block 1510 where
result of the transaction is received and presented to the payer
and/or merchant as shown in FIG. 16(e). The flowchart 1500 ends at
block 1512 where an electronic receipt of the transaction is
provided to the payer in the form of an electronic message as shown
in FIG. 16(f).
[0130] The foregoing description of various embodiments of the
claimed subject matter has been provided for the purposes of
illustration and description. It is not intended to be exhaustive
or to limit the claimed subject matter to the precise forms
disclosed. Many modifications and variations will be apparent to
the practitioner skilled in the art. Particularly, while the
concept "component" is used in the embodiments of the systems and
methods described above, it will be evident that such concept can
be interchangeably used with equivalent concepts such as, class,
method, type, interface, module, object model, and other suitable
concepts. Embodiments were chosen and described in order to best
describe the principles of the invention and its practical
application, thereby enabling others skilled in the relevant art to
understand the claimed subject matter, the various embodiments and
with various modifications that are suited to the particular use
contemplated.
* * * * *