Video surveillance and security is increasingly a part of everyday life - private security, govt. agency, public, industrial, institutional, commercial and private spaces. Technology has transformed it from a conventional camera-based recording to real-time intelligence for highly effective crowds monitoring, unattended objects and assault weapons detection, vehicle license plate tracking, facial recognition and more.

Conventional CCTV based surveillance and security management systems are not just inaccurate due to it being manual but requires high storage systems that are inefficient and expensive. Cloud-based systems have processing latency issues that deters effective real-time alerts and intervention.

Our AI-Based Edge Video Analytics for Surveillance and multi-sensor platform with GIS & Machine Learning helps process and analyse data to provide you with granular insights and real-time alerts. It can be customized and provides an effective, low-cost solution to enable well-informed decisive action taking in the areas of:

Activity monitoring :

  1. Single person anomaly detection and suspicious behaviour
  2. Reconnaissance and loitering (differentiating from queuing)
  3. Changes in gait at the points of interest

Gaze estimation for determining :

  1. Object of interest
  2. Interacting individuals
  3. Suspect gaze at security cameras or posts

Detection of left luggage

Crowd Activity monitoring :

  1. Crowd Dynamics and behavioural analysis
  2. Crowd segmentation and early warning of abnormal behaviour & potential riots
  3. People count

Region isolation of suspicious activity

Threat modelling :

  1. Prioritization and correlation of events
  2. Identification of potential threats

Automated Vehicle monitoring :

  1. Number plate recognition (ANPR)
  2. Radar-based vehicle speed detection
  3. Number plate with vehicle registered mismatch
  4. Vehicle without number plate
  5. Polluting vehicles
  6. Tracking of suspicious vehicles across multi video feeds
  7. Origin & Destination (O&D) evaluation and prediction
  8. Route prediction

Real-time face recognition :

  1. Identification of suspects (against a known suspect database)

Camera handoff region evaluation and determination

Traffic congestion and density detection and prediction :

  1. Road obstacles
  2. Highway monitoring for vehicular/pedestrian, animal activity

Restricted area access detection and tracking

Events monitoring

Critical Infrastructure :

  1. Access control and detection of tailgating
  2. Concealed weapons detection

Looking for cost-effective AI-based surveillance solutions?
Take advantage of our low-cost, customized solutions, suitable for both private security experts and government agency security needs.