EVERDOOR

Trademark usage description

downloadable computer software using artificial intelligence for enhancement of computer vision systems used for forensic analysis of surveillance vid Read More

Classification Information

Class [009]
Downloadable computer software using artificial intelligence for enhancement of computer vision systems used for forensic analysis of surveillance video at back of store and direct store delivery areas for fraud and theft prevention purposes; downloadable computer software using artificial intelligence for enhancement of computer vision systems used for analysis of surveillance video at back of store and direct store delivery areas for retail inventory management; recorded computer programs using artificial intelligence for enhancement of computer vision systems used for forensic analysis of surveillance video at back of store and direct store delivery areas for fraud and theft prevention purposes; recorded computer programs using artificial intelligence for enhancement of computer vision systems used for analysis of surveillance video at back of store and direct store delivery areas for retail inventory management.

Classification kind code

Class [042]
Software as a service (SaaS) services featuring software using artificial intelligence for enhancement of computer vision systems used for forensic analysis of surveillance video at back of store and direct store delivery areas for fraud and theft prevention purposes; software as a service (SaaS) services featuring software using artificial intelligence for enhancement of computer vision systems used for analysis of surveillance video at back of store and direct store delivery areas for retail inventory management.

Classification kind code

Mark Details

Serial Number

2374636

Mark Type

Trademark

Legal History

Action Taken	Status
Submitted for opposition 257 on 16^th Jan 2025	Designation Notification - Madrid Protocol
Submitted for opposition 1 on 15^th Jan 2025	Created
Submitted for opposition 31 on 15^th Jan 2025	Formalized
Submitted for opposition 228 on 28^th Nov 2024	International Registration
Submitted for opposition 30 on 28^th Nov 2024	Filed