Missing Object Detector

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This is a computer vision-based solution designed to monitor stationary camera feeds to detect missing objects in real time. The system works by comparing the current state of a scene captured by the camera to an initial reference image. If any objects are removed or disappear from the camera’s field of view, the solution identifies these changes.

Here’s a breakdown of how it functions and its capabilities:

  • Detection of Missing Objects: The solution uses "feature matching," where unique features or visual elements from the reference frame are stored. It continually scans for these features in the camera’s live feed, allowing it to recognize if an object that was initially present is missing.
  • Resilience to Environmental Changes: The detection method is designed to be invariant to lighting changes, minor shifts in perspective, and other environmental conditions. This ensures the system can function reliably in varying conditions without false detections.
  • Visual Marking of Changes: When an object is detected as missing, the solution marks the area on the display.
  • Deployment Versatility: The solution can be deployed across different platforms. It is offered as a customizable solution, capable of adapting to specific client needs, either as a web service, mobile application, or integrated into dedicated systems.

The project was initially intended for security applications, such as monitoring sensitive areas for unauthorized removals or tampering.