Cloudastructure Inc. Receives USPTO Notice of Allowance for Cloud-Based AI Video Surveillance Patent

Reuters2025-12-17

Cloudastructure Inc. Receives USPTO Notice of Allowance for Cloud-Based AI Video Surveillance Patent

Cloudastructure Inc. announced that the United States Patent and Trademark Office has issued a Notice of Allowance for its U.S. Patent Application No. 18/133,167, titled "Methods and Systems Improving Network Performance for Video Surveillance." The patent application covers core innovations for a cloud-based system that records video onsite, securely uploads it to the cloud, and applies computer vision AI applications using cloud-based computing resources. This architecture enables advanced object detection, recognition, and security analytics, supporting scalable remote monitoring and guarding services. The patent application names Rick Bentley, Gregory Rayzman, and Bruce Durham as inventors.

Disclaimer: This news brief was created by Public Technologies (PUBT) using generative artificial intelligence. While PUBT strives to provide accurate and timely information, this AI-generated content is for informational purposes only and should not be interpreted as financial, investment, or legal advice. Cloudastructure Inc. published the original content used to generate this news brief via GlobeNewswire (Ref. ID: GNW9603307-en) on December 17, 2025, and is solely responsible for the information contained therein.

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Receives USPTO Notice of Allowance for Cloud-Based AI Video Surveillance Patent\n    </title></head><body><div xmlns:xsd=\"http://www.w3.org/2001/XMLSchema\" xmlns:xsi=\"http://www.w3.org/2001/XMLSchema-instance\">\n<p>\n        Cloudastructure Inc. announced that the United States Patent and Trademark Office has issued a Notice of Allowance for its U.S. Patent Application No. 18/133,167, titled \"Methods and Systems Improving Network Performance for Video Surveillance.\" The patent application covers core innovations for a cloud-based system that records video onsite, securely uploads it to the cloud, and applies computer vision AI applications using cloud-based computing resources. This architecture enables advanced object detection, recognition, and security analytics, supporting scalable remote monitoring and guarding services. 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