ONVIF Blog

ONVIF Challenge Winning Application: Explained

Canada-based developer Liqiao Ying created an app for an Artificial Intelligence-based object detection system that utilizes blockchain solutions for storing information obtained from ONVIF cameras. Learn more in this video.

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ONVIF Challenge Announces Top 10 Finalists

The ONVIF judges would like to thank all who participated in the challenge for their diligence, time and novel ideas.  By using these innovative approaches to create new applications for open source standards such as ONVIF, we are just beginning to explore the possibilities that complete interoperability can bring.

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AI-based Object Detection System wins ONVIF Challenge

With over 30 submissions of innovative and unique applications, the winning app, CAM X, submitted by Canada-based developer Liqiao Ying, offers an Artificial Intelligence-based object detection system that utilizes blockchain solutions for sorting information obtained from ONVIF cameras.

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