NEUREYE

Mark For: NEUREYE™ trademark registration is intended to cover the categories of safety and driving assistant system that detects and reports driver fatigue, distraction and actions, enabling lifesaving alerts in real-time; Driver identification software; A vehicle interior monitoring system comprising of computer vision algorithms to track visual attributes; A driver monitoring system comprising of logic algorithms which translate data into conclusions of the driver's state and actions; Computer vision software and a dedicated camera sensor; Intelligent sensing solutions that use edge-based computer vision and AI for safer and better driving for driver monitoring, driver identification and occupancy monitoring systems; Sensing solutions that use edge-based computer vision and Artificial Intelligence to enhance daily experiences in vehicles and in other environments (e.g., home, office, commercial space, etc.); Computer software using artificial intelligence and machine learning for real time analysis in sensors and embedded systems; Computer vision software for embedding into existing hardware and sensors; Computer vision software; A driver monitoring system providing ongoing real-time assessment of the driver's state, using advanced computer vision algorithms to track visual attributes of the driver, including head pose, gaze vector, blink rate, pupil dilation and more, and deliver life-saving alerts if drowsiness or inattentiveness are detected; A device comprised of processor, sensor, computer vision software algorithms, application and connectivity, for driver monitoring in fleets, providing alerts to the driver and fleet manager; Driver identification system, comprising of sensor, software algorithms and processor, for detecting the driver's age and gender, as well as recognizing several enrolled drivers and providing personalized in-cabin experiences such as automatic adjustment of the seat, mirrors, recent destinations, media content and Air Conditioner settings; Safety systems comprising computer vision software for passenger recognition, child seat detection, posture analysis, object detection, real-time adjusting airbag deployment according to passenger position, or triggering seat-belt alerts if worn incorrectly; Computer vision software for collecting vision analytic data pertaining to the occupants' state and activity and mapping vision data to entertainment systems in the vehicle, offering personalization of the in-car environment according to age, gender or specifically identified users; Advanced sensing solutions for home devices, viewership and audience measurement analytics, utilizing computer vision and Artificial Intelligence to deliver intelligent interactions that are responsive to users and their actions; Computer vision-based system comprising of software and sensors, which enables intelligent interactions with electronic devices, personalization and interaction, namely, automatic selection of the user profile, pausing media when the user is inattentive or leaves the room, and touch-free gesture control; Computer vision system for real-time audience monitoring and viewer analytic, identifying and detecting new and returning viewers, their actual attentiveness, age and gender, enabling content personalization and adding targeting in real-time; Computer vision system for monitoring the interior of the vehicle, detecting and reporting objects (e.g., bags, phones, jackets, etc.) and anomalies (e.g., spillage); Computer vision system for monitoring the area of interest the driver is looking at (e.g., instrument cluster, mirrors, infotainment console, head up display, etc.); Computer vision system that is fully embedded and optimized for processing on the hardware of electronic devices and vehicles in real-time; Embedded sensing solutions comprising or processor, sensors and software algorithms that analyze video in-real time, translate it to metadata and then discard it without storing, recording or sending any images; Computer vision and AI solutions for use in the automotive and IoT smart home fields; Computer vision and AI solutions for improving daily experiences in the car, at home, and with consumer electronic devices using intelligent interactions that are responsive to the presence of users and their actions; In-cabin sensing solutions in the automotive field, namely, a driver monitoring system, driver identification and occupancy monitoring systems; Sensing solutions for user awareness capabilities, audience measurement, viewer analytics and touch-free gesture control for use in the IoT and smart home space; Driving assistance system consisting primarily of electronic controllers, cameras and sensors; Electronic system for providing assistance while driving vehicles, comprised of an electric chip with software for processing video, camera mounted on a car and printed instructional material distributed as a unit therewith; Electronic system in the nature of camera and vision module for providing assistance while driving; Computer hardware and software for monitoring and providing warning and assistance while driving and navigating motor vehicles; Computer software and hardware for triggering autonomous features in the vehicle based on the driver's state; Mobile phone application for monitoring drivers' drowsiness, distraction by means of computer vision; Computer software for human behavior and intentions analysis; Computer software for analyzing interactions between humans; Computer software for analyzing interaction between humans and digital machines; Computer software for analyzing human behavior in public places and in shops; Computer software for predicting human actions. [all]

Status

2020-01-13 UTC
⟳ Refresh

LIVE APPLICATION Under Examination

Research	OneLook Acronym Finder
Serial Number	88704891
Mark Literal Elements	NEUREYE
Mark Drawing Type	4 - STANDARD CHARACTER MARK
Mark Type	TRADEMARK. SERVICE MARK
Register	PRINCIPAL
Current Location	TMO LAW OFFICE 118- MANAGING ATTORNEY 2020-01-07
Basis	1(b)
Class Status	ACTIVE
Primary US Classes	021: Electrical Apparatus, Machines and Supplies 023: Cutlery, Machinery, Tools and Parts Thereof 026: Measuring and Scientific Appliances 036: Musical Instruments and Supplies 038: Prints and Publications
Primary International Class	009 - Primary Class (Electrical and scientific apparatus) Scientific, nautical, surveying, electric, photographic, cinematographic, optical, weighing, measuring, signaling, checking (supervision), lifesaving and teaching apparatus and instruments; apparatus for recording, transmission or reproduction of sound or images; magnetic data carriers, recording discs; automatic vending machines and mechanisms for coin operated apparatus; cash registers, calculating machines, data processing equipment and computers; fire-extinguishing apparatus.
Filed Use	No
Current Use	No
Intent To Use	Yes
Filed ITU	Yes
44D Filed	No
44E Current	No
66A Current	No
Current Basis	No
No Basis	No
Attorney Name	Yael Rouach Cabilly
Attorney Docket Number	EST-T-101-US
Law Office Assigned	M90
Employee Name	BAIRD, MICHAEL

Timeline

IC 009. US 021 023 026 036 038. G & S: Safety and driving assistant system that detects and reports driver fatigue, distraction and actions, enabling lifesaving alerts in real-time; Driver identification software; A vehicle interior monitoring system comprising of computer vision algorithms to track visual attributes; A driver monitoring system comprising of logic algorithms which translate data into conclusions of the driver's state and actions; Computer vision software and a dedicated camera sensor; Intelligent sensing solutions that use edge-based computer vision and AI for safer and better driving for driver monitoring, driver identification and occupancy monitoring systems; Sensing solutions that use edge-based computer vision and Artificial Intelligence to enhance daily experiences in vehicles and in other environments (e.g., home, office, commercial space, etc.); Computer software using artificial intelligence and machine learning for real time analysis in sensors and embedded systems; Computer vision software for embedding into existing hardware and sensors; Computer vision software; A driver monitoring system providing ongoing real-time assessment of the driver's state, using advanced computer vision algorithms to track visual attributes of the driver, including head pose, gaze vector, blink rate, pupil dilation and more, and deliver life-saving alerts if drowsiness or inattentiveness are detected; A device comprised of processor, sensor, computer vision software algorithms, application and connectivity, for driver monitoring in fleets, providing alerts to the driver and fleet manager; Driver identification system, comprising of sensor, software algorithms and processor, for detecting the driver's age and gender, as well as recognizing several enrolled drivers and providing personalized in-cabin experiences such as automatic adjustment of the seat, mirrors, recent destinations, media content and Air Conditioner settings; Safety systems comprising computer vision software for passenger recognition, child seat detection, posture analysis, object detection, real-time adjusting airbag deployment according to passenger position, or triggering seat-belt alerts if worn incorrectly; Computer vision software for collecting vision analytic data pertaining to the occupants' state and activity and mapping vision data to entertainment systems in the vehicle, offering personalization of the in-car environment according to age, gender or specifically identified users; Advanced sensing solutions for home devices, viewership and audience measurement analytics, utilizing computer vision and Artificial Intelligence to deliver intelligent interactions that are responsive to users and their actions; Computer vision-based system comprising of software and sensors, which enables intelligent interactions with electronic devices, personalization and interaction, namely, automatic selection of the user profile, pausing media when the user is inattentive or leaves the room, and touch-free gesture control; Computer vision system for real-time audience monitoring and viewer analytic, identifying and detecting new and returning viewers, their actual attentiveness, age and gender, enabling content personalization and adding targeting in real-time; Computer vision system for monitoring the interior of the vehicle, detecting and reporting objects (e.g., bags, phones, jackets, etc.) and anomalies (e.g., spillage); Computer vision system for monitoring the area of interest the driver is looking at (e.g., instrument cluster, mirrors, infotainment console, head up display, etc.); Computer vision system that is fully embedded and optimized for processing on the hardware of electronic devices and vehicles in real-time; Embedded sensing solutions comprising or processor, sensors and software algorithms that analyze video in-real time, translate it to metadata and then discard it without storing, recording or sending any images; Computer vision and AI solutions for use in the automotive and IoT smart home fields; Computer vision and AI solutions for improving daily experiences in the car, at home, and with consumer electronic devices using intelligent interactions that are responsive to the presence of users and their actions; In-cabin sensing solutions in the automotive field, namely, a driver monitoring system, driver identification and occupancy monitoring systems; Sensing solutions for user awareness capabilities, audience measurement, viewer analytics and touch-free gesture control for use in the IoT and smart home space; Driving assistance system consisting primarily of electronic controllers, cameras and sensors; Electronic system for providing assistance while driving vehicles, comprised of an electric chip with software for processing video, camera mounted on a car and printed instructional material distributed as a unit therewith; Electronic system in the nature of camera and vision module for providing assistance while driving; Computer hardware and software for monitoring and providing warning and assistance while driving and navigating motor vehicles; Computer software and hardware for triggering autonomous features in the vehicle based on the driver's state; Mobile phone application for monitoring drivers' drowsiness, distraction by means of computer vision; Computer software for human behavior and intentions analysis; Computer software for analyzing interactions between humans; Computer software for analyzing interaction between humans and digital machines; Computer software for analyzing human behavior in public places and in shops; Computer software for predicting human actions
IC 042. US 100 101. G & S: Research and development of computer vision solutions and sensing solutions; Software development services for porting computer vision algorithms to different computing platforms and environments; Technological research in the field of automated driving, drive assistance, driver monitoring, artificial intelligence, automobiles; Video and vehicle data collection services for researching driver and occupant behavior in vehicles; Video and vehicle data collection services for establishing driver and occupant monitoring video benchmark; Industrial analysis and research services in the field of automated driving, drive assistance, driver monitoring, artificial intelligence, automobiles; Computer vision software design, programming, and maintenance of software