Our article was published in Boan News in December 2023.

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With advancements in deep learning technology, the ways to utilize CCTV video analysis data have diversified, and demand has grown. However, as the volume of real-time video that central servers need to process has increased, limitations in network bandwidth and slow response times have posed challenges. EdgeDX addresses these issues with edge computing technology, helping customers use CCTV footage more effectively to solve real-world problems and increase business value.

EdgeDX’s "AI Bridge" is a third-generation crowd-sourcing product that integrates edge computing technology, including edge analytics algorithms and software optimization.

The solution can receive up to 16 video feeds from on-site CCTVs and perform over 30 types of video analyses, including fall detection, threat situation detection, and measuring interest in displayed products. The results of real-time analysis can be sent to a Video Monitoring System (VMS) or external mobile or web servers, accompanied by snapshot images at the time of an incident.

With real-time pose estimation technology, it can track key body points—such as gaze, hands, feet, and shoulders—enabling detailed behavior analysis. It combines multiple levels of deep learning analysis with vision recognition technology to reduce false alarms while maintaining strong object detection.

Additionally, by using AI semiconductors for autonomous vehicles, the device operates reliably in extreme temperatures, from -30°C to 70°C, and consumes less than 16 watts, allowing for easy indoor or outdoor installation without a dedicated server room.

The device has a variety of built-in I/O ports, enabling integration with different sensors or control devices, and allows direct editing of communication messages, such as HTTP or TCP, without additional coding. This makes it easy to connect with traditional security systems, as well as external web or mobile services.

A cloud-based software and API for remote management of multiple AI Bridge devices offer both the advantages of edge computing and the convenience of cloud computing.

The video analysis performance and product stability of AI Bridge have been proven abroad. Currently, over 90% of sales occur internationally, including in Europe and the U.S., where it is used in diverse applications such as alarm monitoring centers, construction sites, large-scale farms, and retail stores.

Copyright: Boan News (www.boannews.com)