Cutting Edge Surveillance Technology

With the proliferation of real-time and forensic digital video sources, the need for a technology that supports fast, efficient and accurate analysis of operational and historical video surveillance data from diverse sources is more important than ever.

Existing video surveillance analytics platforms struggle to differentiate between targeted moving objects and insignificant natural movements like running water or blowing leaves.  A system without the ability to pinpoint the true target because of changing camera angles and frame warping can increase your margin of error by falsely identifying stationery objects as moving.

That’s where we come in. VATES, with Edge-Focused Differencing, gives users the power to quickly identify and communicate differences in topography, and location of assets and personnel, and easily isolate, highlight and view objects in motion from any type of digital video feed.

Summary of VATES Features

VATES is based on Hendricks Corp’s proprietary Edge Focused Differencing technology.

  • Unique video analytic algorithm
  • Built on a service-oriented architecture
  • Leverages the power of existing networks
  • Increased processing speeds
  • Decreased bandwidth utilization
  • Maximizes existing technology investments
  • Minimizes impacts to existing network infrastructures

VATES Product Details

  • Comprehensive Video Analytics Framework
  • Object Identification
  • Object Tracking
  • Video Stabilization
  • Self Training Analytics
  • Operator controls to adjust analytics

VATES Technology Utilization and Compatibility

More and more users are realizing the need for surveillance technology access on multiple platforms, and Hendricks Corp can fulfill that need with our fully mature, deployed technology. VATES can be readily adapted to meet the specific needs of every agency and user, including users of tablet and mobile devices. Video sources and VATES data can be linked to information from other intelligence sources to create a complete operational picture with built-in analytics.