The volume of videos is skyrocketing due to recent technological advances in recording. To use videos effectively and make them searchable, there is a growing demand for intelligent softwares to automatically understand the video contents. Although it is trivial for human, empowering computers to recognize video semantic concepts is very challenging. Sensifai developed a cutting-edge audio-visual deep-learning technology trained on millions of videos to recognize audio and video content and tag them accurately
We believe Sensifai’s approach to contextual video analysis is unique and on the leading edge, and could represent a future paradigm of the next-generation of search in a world where 80% of consumer web traffic is video.
Sensifai has been great to work with. Recently we needed face detection to blur the faces of pedestrians in our lean mobile mapping videos and the Sensifai team was very responsive and creative and their face detection technology was impressive
What Google is doing for text, Sensifai aspire to do for pictures and videos. Hence the solution is a comprehensive commercial video tagging API, that can be used to tag videos & pictures, i.e. for objects, scenes, action, sport, celebrity, music, mood, keyword, etc. The results they have demo'ed have been very powerful, specifically when compared to the giants in the market offering image recognition and tagging.
Sensifai includes capable scientists and engineers to build most capable AI machines.