Surveillance Camera Model using Action Recognition

Surveillance Camera Model using Action Recognition


  • Alexandria University
  • Engineering
  • Communications & Electronics
  • Team Members

Project Description

The high demand for fast reliable surveillance cameras has led to the emergence of several camera models with smart embedded processing. That is, beyond the storage of data recorded by cameras, smart systems are required to analyze these data rapidly to overcome critical situations. Our objective is to develop and implement a model for smart cameras that can minimize the data subject to analysis by the top-level smart system, and perform real-time analysis of the recorded videos.