Serial Number
88064475
Owner
VOXEL51, INC.Attorney
Holly PrangerFirst Use Date
Jan 1, 2018
Filing Date
Aug 3, 2018
ROADSENSE Trademark
Serial Number: 88064475 • Registration: 6119572
Trademark Classes
Owner Contact Info
Legal Representation
Correspondence Address
Holly Pranger Pranger Law PC
88 Guy Place, Suite 405
San Francisco, CA 94105
United States
Trademark Details
Filing Date
August 3, 2018
Registration Date
August 4, 2020
First Use Anywhere
January 1, 2018
First Use in Commerce
January 1, 2018
Published for Opposition
January 29, 2019
Goods & Services
Computer software and hardware for providing analytics of video and image data relating to road scenes and road scene settings using machine learning, computer vision, and artificial intelligence; Downloadable software in the nature of a mobile application for providing analytics of video and image data relating to road scenes and road scene settings using machine learning, computer vision, and artificial intelligence; Downloadable computer software for providing analytics of video and image data relating to road scenes and road scene settings using machine learning, computer vision, and artificial intelligence
Consulting services in the field of the design of computer vision systems, artificial intelligence systems, and machine learning systems; Design, development, and consulting services related thereto in the field of computer vision, machine learning, and artificial intelligence; Platform as a service (PAAS) featuring computer software platforms for providing analytics of video and image data relating to road scenes and road scene settings using machine learning, computer vision, and artificial intelligence; Providing temporary use of non-downloadable cloud-based software for providing analytics of video and image data relating to road scenes and road scene settings using machine learning, computer vision, and artificial intelligence; Software as a service (SAAS) services featuring software for providing analytics of video and image data relating to road scenes and road scene settings using machine learning, computer vision, and artificial intelligence