Oosto Updates Vision AI Software Platform, Releases Touchless Reader Tablet

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NEW YORK — Oosto announces the latest release of its Vision AI software platform, which is said to include significant video analytics enhancements for video surveillance hardware and access control systems.

The version release is accompanied by the company’s introduction of its proprietary edge device, the new OnPoint touchless reader tablet.

This output allows security teams to further reduce organizational risks associated with outdated physical security systems, better manage controlled access, and identify safety threats, according to the company.

“It was only a matter of time before real-time video surveillance and access control systems would harness the power of the edge,” says Dieter Joecker, chief technology officer, Oosto. “With our recent enhancements to our Vision AI platform, Oosto is transferring compute workloads from expensive on-premise servers to the edge but, perhaps more significantly, we’re doing this without sacrificing recognition accuracy, security and performance in real-world scenarios or expanding the physical footprint of the system.”

Oosto Vision AI Modernizes Security Systems

According to the N.Y.-based company, its new Vision AI 2.6 software platform is maximizing the power of edge computing, AI and facial recognition to bring physical security systems up to new levels.

Oosto says the 2.6 update delivers a range of advantages that includes improved response times, a smaller physical footprint (because fewer servers are required for video processing), improved scalability, and even built-in failover so that if a network failure occurs, edge devices continue operating without pause.

The company boasts that with its latest edge enhancement, the Vision AI platform leverages state-of-the-art Kubernetes technologies to protect its algorithms by containerizing the application (versus running the neural networks directly on edge devices).

Explaining the Vision AI’s performance, Oosto states that its neural networks have been optimized to support low-power edge devices while still offering superior performance and recognition accuracy. Based on internal benchmarks, Oosto’s algorithms are now seven times more efficient in terms of watts-per-video stream than other competitive products.

Oosto points out organizations are increasingly moving critical processes from central servers to a variety of edge devices and its adoption is growing across industries. Validating this statement, the company cites data in which the global edge computing market is expected to grow to $155.9 billion (USD) by 2030, a compound annual growth rate of 38.9% (source: Research and Markets, September 2022).

This shift Oosto continues, enables edge devices such as smart cameras, gates and access control systems with local decision-making to open gates for authorized employees or send real-time alerts to security teams when a person-of-interest enters a commercial space.

Summarizing the benefits of tis newly announced Vision AI 2.6 update, Oosto says the platform offers these features:

Optimized Neural Networks: Oosto’s neural networks have been optimized to operate on a wide variety of edge and near-edge devices. Historically, video images required compute-intensive GPU servers. Today, Oosto’s neural networks for watchlist alerting can support very large datasets (which are often required for smart cities and other related use cases) and enable image-rich watchlists to be automatically pushed to mobile personnel in the field.

OnPoint Reader: The new Oosto OnPoint reader is an edge device that can function autonomously and can grant/deny access to employees and visitors even during a network failure. OnPoint readers leverage facial biometrics and edge computing to quickly and accurately recognize authorized personnel, even with obscured faces. The OnPoint touchless reader eliminates surface contact and incorporates 3D liveness detection to prevent spoofing (where a visitor uses a picture or video of an authorized employee to circumvent security).

Near-Edge Processing: Oosto is launching an updated near-edge device (e.g., NVIDIA Jetson) that operates on a smaller physical footprint and is equipped with its state-of-the-art neural network models for video analytics. While the latest version of the Vision AI platform still requires a central server, it can now interoperate with a number of leading GPU-less mini-servers.

 Smart Camera Integration: Oosto offers the concept of “camera as a sensor” by embedding its neural networks (SDK) into the latest AI-enabled CCTV cameras. Because the image processing and face vectoring happens on the camera, these smart cameras reduce the need for computing requirements on the server side and enable powerful capabilities such as watchlist alerting, frictionless access control, tailgating detection/prevention, and other video analytics capabilities.

Genetec VMS Integration: Oosto’s latest release also provides Genetec VMS customers with a single pane of glass to view real-time alerts of security threats by accurately identifying persons of interest in real-time, even under adverse conditions. Oosto’s integration enables surveillance operators with a complete history of all POI detections (video playbacks) within Genetec Omnicast VMS to facilitate and expedite  investigations.

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