Video Analytics Retail Environment

Video Analytics Retail Environment

Analysing video data in a retail environment can provide very powerful information not only for security and safety of workers and the customers but also for the business operators. Often thousands of dollars are invested into camera systems and Video Analytics helps you extract a better return on investment.

What are the most popular displays?

How many people entered my store after looking in the display window?

Which sections of the shopping centre entice the most shoppers?

Below are further examples of the possibilities Video Analytics can bring to your business solution.

Retail Example Analytics

  • Abandoned objects in a crowd
  • Detect theft in a crowd
  • Trespassing – wrong way or unauthorized entry
  • Graffiti and vandalism detection
  • Suspicious behavior – loitering, sudden crowd gathering, man-down
  • Use of iQ-Hawk and many-to-many Face Recognition system to automate the law enforcement process for finding suspects or criminals
  • Detect and track suspects or criminals accompanied with many-to-many facial recognition system
  • System health check for camera malfunction or sabotage
  • People Counting and crowd management to understand building capacity
  • People Counting to understand traffic flow in certain areas or at particular times of the day/week/ month/year to better plan resources and marketing strategies.
  • Determine rents for shops based on traffic flow
  • Queue management and calculation of average waiting time – for managing customer satisfaction and service in areas with long queues of people
  • Detect and automate the process for understanding the number of taxis at the stand (to call for more taxis if the queue has increased)
  • License Plate Recognition to automate vehicle access (particularly for VIPs or senior executives)
  • Detect parking violations – Use of iQ Hawk and the License Plate Recognition system to automate the law enforcement and fining process for the vehicles parked illegally
  • Detect running/skateboarding/slip and fall
  • Detect water spills to reduce public liability
  • Overcrowding and congestion detection – adhere to safety regulations
  • Smoke and fire detection. Conventional smoke detection cannot be effective in areas with high ceilings

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