Oosto’s latest software release pushes real-time identification and threat detection to the edge

Oosto announced the latest release of its Vision AI software platform, which includes 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 This output allows security teams to further reduce organisational risks associated with outdated physical security systems, better manage controlled access, and identify safety threats.

Physical security

Edge computing in smart video surveillance offers many advantages including improved response times

Oosto is harnessing the power of edge computing, facial recognition, and Vision AI to bring physical security into the modern age.

Edge computing in smart video surveillance offers many advantages including 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.

Vision AI platform

With Oosto’s latest edge enhancement, the Vision AI platform offers a “no-compromise” solution that de-risks video analytics at the edge while maintaining high performance and accuracy. Oosto leverages state-of-the-art Kubernetes technologies to protect its algorithms by containerising the application (vs. running the neural networks directly on edge devices).

Performance-wise, Oosto’s neural networks have been optimised to support low-power edge devices while still offering superior performance and recognition accuracy. Based on internal benchmarks, Oosto’s algorithms are seven times more efficient in terms of a watts-per-video stream than the company’s next nearest rival.

Video surveillance and access control systems

“It was only a matter of time before real-time video surveillance and access control systems would harness the power of the edge,” said Dieter Joecker, Chief Technology Officer, Oosto, adding “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.”

Real-time alerts

The global edge computing market is expected to grow to $155.9 billion (USD) by 2030, with an annual growth rate of 38.9%

Many organisations are increasingly moving critical processes from central servers to a variety of edge devices and its adoption is growing across industries, use cases, and geographies. The global edge computing market is expected to grow to $155.9 billion (USD) by 2030, with a compound annual growth rate of 38.9%.

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

Release features 

A few of the key enhancements offered in Oosto’s version 2.6 release include:

• Optimised Neural Networks

Oosto’s neural networks have been optimised to operate on a wide variety of edge and near-edge devices. Historically, video images required compute-intensive GPU servers.

Currently, 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

OnPoint touchless reader eliminates surface contact and incorporates 3D liveness detection to prevent spoofing

The new Oosto OnPoint reader is an edge device that can function autonomously and grant/deny access to employees and visitors even during a network failure.

OnPoint readers leverage facial biometrics and edge computing to quickly and accurately recognise authorised 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 authorised employee to circumvent security).

• Near-Edge Processing

Oosto is launching an updated near-edge device (e.g., NVIDIA Jetson) that operates on a much smaller physical footprint and is equipped with Oosto’s 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 several leading GPU-less mini-servers.

• Smart Camera Integration

Oosto is pioneering the concept of “camera as a sensor” by embedding our state-of-the-art neural networks (SDK) into the latest AI-enabled CCTV cameras.

Because image processing and face vectoring happen 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 (i.e., individuals spotted on a company’s watchlist) by accurately identifying persons of interest in real-time, even under adverse conditions (e.g., acute camera angles, people in crowds, less-than-optimal lighting 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.

Modernising security 

By leveraging edge and near-edge technologies, Oosto is helping to revolutionise, modernise and de-risk physical security while dramatically lowering the total cost of ownership for video surveillance and access control systems.