failure to respond or late response
on 21 Jul 2020
Last Applicant/ Owned by
8 Maskit St.
Herzliya
IL
Serial Number
88704891 filed on 25th Nov 2019
Registration Number
N/A
Correspondent Address
YAEL ROUACH CABILLY; CABILLY & CO.
Filing Basis
1. intent to use
2. intent to use current
Disclaimer
NO DATA
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 aRead More
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
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
No 88704891
No Service Mark
No EST-T-101-US
No
No
No
No
No
No
No
No
| Status Date | Action Taken |
|---|---|
| 21st Jul 2020 | ABANDONMENT - FAILURE TO RESPOND OR LATE RESPONSE |
| 21st Jul 2020 | ABANDONMENT NOTICE MAILED - FAILURE TO RESPOND |
| 07th Jan 2020 | NOTIFICATION OF NON-FINAL ACTION E-MAILED |
| 07th Jan 2020 | NON-FINAL ACTION E-MAILED |
| 07th Jan 2020 | NON-FINAL ACTION WRITTEN |
| 02th Jan 2020 | ASSIGNED TO EXAMINER |
| 02th Jan 2020 | PETITION TO DIRECTOR - MAKE SPECIAL - GRANTED |
| 31st Dec 2019 | ASSIGNED TO PETITION STAFF |
| 11th Dec 2019 | TEAS PETITION TO DIRECTOR-MAKE SPECIAL-RECEIVED |
| 03rd Dec 2019 | NEW APPLICATION OFFICE SUPPLIED DATA ENTERED IN TRAM |
