Surveillance Systems and
Video Analytics

Due to its enormous potential in detection of events of interest/ importance, video surveillance is increasingly being used in various cyber-physical applications like defence and homeland security, traffic analysis, healthcare, public safety, wildlife tracking and environment/weather monitoring. The massive volumes of video and metadata being thus generated is already challenging human capacity of assimilating the information.

Inferigence Quotient offers a suite of functionality that examines the video together with data from other sensors/ platforms combining with it available prior knowledge to provide intelligence and investigative capabilities. Sophisticated computer vision and machine learning algorithms form the backbone of this system. Apart from providing deeper, richer operational insights, these functionalities take situational awareness to the next level and enable strategic engagement with the user in new ways.

Multi-platform surveillance system solutions are provided e.g. ground-based static and moving platforms, remote-sensing etc. Keeping in view the different application areas, options to adhere to relevant international standards are provided.

Some of the key features of the system are listed below. Apart from these, a rich set of libraries allow us to build application-specific functionality in short time.

  • Motion Detection
  • No-motion Detection
  • Intrusion Detection
  • Trip Wire
  • Loitering Detection
  • Human Detection
  • Face Detection
  • Abandoned Object Detection
  • Vehicle Detection
  • Target Tracking
  • Video Stabilization
  • Mosaic Generation
  • Geo-tagging
  • Image Ortho-rectification
  • Multimedia Stream Generation and Dissemination
  • High-resolution Reconstruction