Video Analytics Solution

Video Analytics Solution


Al/ML models are trained to extract metadata from the provided images, audio, or video files which, facilitates deep search and draws good analytics that enables provision for deeper insights.

We helped them with:

  • Video Analytics Solution that aimed at analyzing video frames and extracting information for spoken words, objects detection like clothes, footwear, brands text, known and unknown faces in the video. 
  • Extracted data helps create intelligent apps, monetize the content, and easily improve business.


Solution scope included:

  • Built using the AI/ML frameworks like TensorFlow and models like SSD, Yolo.
  • The video is split into multiple frames for analysis.
  • Based on the length of the video the frequency at which the frames are picked and dropped is decided.
  • Used Google cloud algorithms for speech recognition. This does not use the frames, instead, the video is converted into smaller audio files for better performance and parallel processing.


  • Capturing images that reveal the behavioral patterns.
  • Easily extract crucial and relevant information from digital videos.
  • Detect objects, people and extract useful information from a streaming video.
  • Consider company operations in a new light.
  • Gain real-time information into operations and interactions and take immediate action as a result.
  • Detect real-time violations.


Privacy Preferences
When you visit our website, it may store information through your browser from specific services, usually in form of cookies. Here you can change your privacy preferences. Please note that blocking some types of cookies may impact your experience on our website and the services we offer.