ONVIF recently announced the winner of the first ever ONVIF Open Source Spotlight Challenge.
The winning app, CAM X, submitted by Canada-based developer Liqiao Ying, offers an AI-based object detection system that utilizes blockchain solutions for storing information obtained from ONVIF cameras.
In all, 37 submissions were judged on innovation, viability of implementation, functionality and whether the app is easy to navigate and use.
Seven finalists received $800 each, while first, second and third place earned $3,000, $2,500 and $2,000, respectively. All of the finalist app submissions, including second place winner RPOS Open Source Camera and third place winner Open Camera, will be viewable on onvif.org.
“The purpose of the challenge was to solicit creative, open source ideas from outside the ONVIF organization and from outside the industry, helping to expand our perspective,” said Hans Busch, chairman, ONVIF Technical Committee. “We are excited about the diversity of approaches that were employed amongst the different submissions and the possibilities that exist for further development of the apps for future use by ONVIF.”
The two-month online challenge, offered in conjunction with BeMyApp, offered cash prizes for developers who use the protocol provided by ONVIF to create open source mobile or desktop applications for advanced video streaming.
The submissions were required to be compatible with the latest release candidate, Profile T, which supports both H.264 and H.265 video compression standards. Developers connected to online prototype cameras with Profile T functionality from Axis Communications, Bosch Security and Safety Systems, Dahua Technology, Hikvision and Uniview.