{"id":2001,"date":"2018-07-05T14:56:53","date_gmt":"2018-07-05T14:56:53","guid":{"rendered":"https:\/\/www.onvif.org\/blog\/?p=2001"},"modified":"2025-06-10T13:05:36","modified_gmt":"2025-06-10T13:05:36","slug":"ai-based-object-detection-system-wins-onvif-challenge","status":"publish","type":"post","link":"https:\/\/www.onvif.org\/blog\/2018\/07\/05\/ai-based-object-detection-system-wins-onvif-challenge\/","title":{"rendered":"AI-based Object Detection System wins ONVIF Challenge"},"content":{"rendered":"

The ONVIF Open Source Coding Challenge<\/a> is a wrap!<\/p>\n

With over 30 submissions of innovative and unique applications, the winning app, CAM X<\/a>,\u00a0submitted 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. With just a cell phone, users are offered a serverless solution that can detect 20 objects in real time and 80 object types for better accuracy.<\/p>\n

\u201cThe 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,\u201d said Hans Busch, Chairman, ONVIF Technical Committee. \u201cWe 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.\u201d<\/p>\n

With a total of $20,000 up for grabs, the main focus of the challenge was to develop innovative applications related to ONVIF Profile T for advanced video streaming by using provided video tutorials. We are pleased with the innovation participants provided, and appreciate all those who decided to compete. Thanks also to our sponsors, who provided online prototype cameras with Profile T functionality \u2014 \u00a0Axis Communications, Bosch Security and Safety Systems, Dahua Technology, Hikvision and Uniview.<\/p>\n

Congratulations to all of our finalists, and congratulation to our winner! Be sure to check our website frequently to learn about some of the other submissions.<\/p>\n","protected":false},"excerpt":{"rendered":"

With over 30 submissions of innovative and unique applications, the winning app, CAM X,\u00a0submitted 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. <\/p>\n","protected":false},"author":10,"featured_media":2002,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[1],"tags":[238,217,239,202,237,236],"class_list":["post-2001","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized","tag-artificial-intelligence","tag-coding","tag-conformance","tag-interoperability","tag-onvif-challenge","tag-open-source"],"yoast_head":"\nAI-based Object Detection System wins ONVIF Challenge - ONVIF Blog<\/title>\n<meta name=\"description\" content=\"With over 30 submissions of innovative and unique applications, the winning app, CAM X,\u00a0submitted 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.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.onvif.org\/blog\/2018\/07\/05\/ai-based-object-detection-system-wins-onvif-challenge\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI-based Object Detection System wins ONVIF Challenge - 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