When thousands of cameras run 24/7 in cities like Boston, New York and Washington, D.C., video surveillance quickly becomes a big data challenge. Video Analytics and automation technologies are the only answer to tackle such a problem. Video content analysis is the capability of automatically analyzing video to detect and determine temporal and spatial events. Using video analytics, organizations do not have to rely only on human operators to process and analyze large volumes of real-time or historical video data. Video Analytics with intelligent computer vision algorithms can convert organizations into smart organization and cities into smart cities. Video data along with other data can be effectively be used to analyze an event from multiple perspectives.

Video Analytics is useful for

  • Security –
    • Surveillance
    • Intrusion detection
  • Recognition –
    • People Recognition
    • Face Recognition
    • License plate tracking
  • Tracking and Monitoring –
    • People Tracking
    • Footfall Tracking
    • Cross camera tracking
    • Traffic Monitoring
  • Detection –
    • Object Detection
    • Crowd counting
    • Safety Alerts- Fire Detection, Smoke detection, Hazard Warning
  • Read here about how CloudMoyo helped improve customer experience at an automobile dealer showroom using Video Analytics