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City Surveillance (Unusual Behaviour + TREX)

City surveillance systems can be challenging, even for a small city  with just a handful of cameras.

The over-arching goals of most city surveillance deployments tend to be combating crime and keeping citizens safe.

Issues like scalability and availability come into play when considering the size of the deployment, how many sites it covers, real-time versus forensic surveillance,  how many different camera are used and what the plans are for future growth.


IntelexVision’s AI supported iSentry platform contributes to enhanced security and safety in city surveillance projects.

Our background and experience in analysing busy crowded scenes in real-time means iSentry has been developed to recognise events of interest in complex environments such as today’s cities.

Learning and unusual behaviour detection capabilities can detect any suspicious movement in busy areas.

iSentry’s advanced rules engine can handle complex situations and supports security control room operators in making immediate & correct operational decisions.

Specific Pain Points in this Vertical

Overall Situational Awareness

  • Lacking sufficient operational oversight
  • Real-time versus checking alarm footage
  • Privacy concerns

Safety & Security

  • Detecting of lost object & packages
  • Shop robbery attempts
  • Vandalism
  • Theft of assets or personal belongings
  • Unauthorized Traffic
  • Detecting Health hasards

Intrusion attempts

  • Keeping area free from unauthorised persons

Crowd surveillance

  • Unauthorized parking
  • Restricting the number of persons in certain areas
  • Detecting suspicious or offending behaviour
  • Managing Occupancy & Queuing

iSentry’s capabilities

  • Real-time Video analytics
  • Learning capability
  • Showing events off interest only
  • Object Blurring
  • Intrusion detection
  • Detection & classification of small objects moving at high speed over a tiny (Fence) area
  • Unusual behaviour detection
  • Loitering detection
  • Object & people counting
  • Left or remaining static object detection
  • Smoke detection
  • Posture analysis, e.g. detection of fallen persons
  • Directional walkway/drive violation
  • LPRN
  • PPE, objects & compliance detection
  • A smart Rules engine can execute complex evaluations