Clouda Structure receives patent for cloud-based computer vision AI for video surveillance

AI Video & Visuals


Cloud Structure Co., Ltd.
Cloud Structure Co., Ltd.

Patents protect fundamental cloud-based architecture, enabling scalable AI video intelligence, remote monitoring, and security analytics

PALO ALTO, Calif., Dec. 17, 2025 (Globe Newswire) — Clouda Structure, Inc. (Nasdaq: CSAI) (“us”, “we”, “our”, “Cloudastructor” or “our”); leader of AI-powered video surveillance, remote monitoring, and remote security servicesannounced today that the United States Patent and Trademark Office (“USPTO”) has issued a Notice of Allowance for U.S. Patent Application No. 18/133,167. “Methods and systems for improving network performance for video surveillance” This patent protects the core innovations behind modern cloud-based AI video surveillance, security analytics, and remote protection platforms.

The patent names Cloudastructor founder Rick Bentley, CTO Gregory Rayzman, and senior engineer Bruce Durham as inventors. We broadly cover the following systems:

This cloud-based architecture, pioneered by Clouda Structure, enables advanced object detection, recognition, and analysis capabilities not possible with traditional camera- or NVR-based systems, and serves as the foundation for scalable remote monitoring and monitoring services.

Cloud-first architecture as the foundation for scalable AI video intelligence

Early on, Clouda Structure made a deliberate architectural decision to move video processing to the cloud, enabling the use of powerful graphics processing units (GPUs) typically reserved for advanced computer vision AI, AI video surveillance, and machine learning security analysis. This cloud-first approach provides performance, accuracy, and scalability that is not practical to deploy directly to cameras or traditional on-premises recording systems.

“GPUs are too powerful and too expensive to integrate into cameras or local recorders,” said Rick Bentley, founder of Clouda Structure. “Running video intelligence in the cloud has the lasting advantage of applying computer vision AI to all videos with far greater precision than systems constrained by small camera CPUs or even larger on-premises NVRs. As a result, our platform can detect and classify objects such as people, vehicles, backpacks, and weapons, recognize faces, read license plates, and extract actionable security analytics from video streams at scale.”

Extensive patent coverage brings long-term strategic value to remote monitoring

The newly granted patent broadly covers end-to-end workflows for cloud-based AI video surveillance, security analysis, and remote monitoring, protecting not only the current implementation of Clouda Structure, but also future Computer Vision AI applications built on the same architectural foundation.



Source link