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Trademark
Owner
Trademark: N 2062955
Word
N
Device Descrption:
PARALLELOGRAM & RHOBUS FORM LTR N
ID
2062955
Trademark Type
Figurative
Status
Protected: Registered/protected
Application Date
26 November 2019
Registration Date
26 November 2019
Renewal Date
26 November 2029
Owner(s)
NEXAR LTD
Service
Goods and Services:
Class 9
:
Smartphones, cameras, inertial measuring units, radar, lidar and other sensors located in or on motor vehicles
;
software and hardware located in moving vehicles for processing data generated by smartphones, cameras, inertial measuring units, radar, lidar and other sensors located in or on the motor vehicles
;
software and hardware located in motor vehicles for digitizing and recognizing objects on streets, roads and highways, including traffic congestion, infrastructure defects, road hazards, collisions, construction, other vehicles, road marks, road signs, traffic lights, available parking spots, parking violations, vehicle advertising signs and other objects
;
software and hardware for collecting, processing, aggregating and distributing data generated by remote sensors, including data generated by smartphones, cameras, inertial measuring units, radar, lidar and other sensors located in or on motor vehicles
;
software and hardware for motor vehicle dashboard camera applications for smartphones and other computing devices
;
software and hardware for high-definition mapping
;
software and hardware for street-view image databases.
Class 35
:
Collection, processing and aggregation of data generated by sensors, including data generated by smartphones, cameras, inertial measuring units, radar, lidar and other sensors located in or on motor vehicles for business and commercial purposes related to control, monitoring and navigation of vehicles, map creation and maintenance, traffic management, congestion management, curbside management, road infrastructure management, road asset management, pedestrian management, urban planning, road safety management and real estate appraisal.
Class 38
:
Transmission of information inferred from data generated by sensors, including data generated by smartphones, cameras, inertial measuring units, radar, lidar and other sensors located in or on motor vehicles.