What is a FootFall Cam?

Footfall Cam is an innovative people counting product that is suitable for shopping malls, retail chains, casinos, small shops etc. Footfall Cam’s operation is to count people, analyse their behaviour across stores and generate specially crafted reports for the management in order to improve marketing strategy and therefore enhance store performance.




People Counter Using Stereoscopic Vision

  • Most Accurate – 95%+ accuracy
  • Most Reliable – Hardware Lifespan 25 years
  • Most Advanced – Quad Core 1.2 GHz processor
  • Most Cost Effective – Widest coverage, single lens type for all kind of ceiling


People Counting Software that Provide Centralised Analytical Functions

  • Cloud or Corporate Server Option Available
  • Data Integration API for importing and exporting data
  • 60+ Predefined business reports and workspace for relevant industries
  • Centralised Management for all Counters


Visitor Count

People counter can help to collect the number of people entered to your store. It conducts bidirectional counting, which count in and out simultaneously. FootfallCam achieves high counting accuracy of 95% and above by employing the most advanced algorithm, based on color and texture, solving the issues with shadows and light level changes.

Street Counting

Using video tracking technology to identify the number of shopper passed by the store. Able to identify the absolute number of the people passed by the store front. It gives retailers to understand the window display effectiveness and overview on the miss-opportunity of the branch.

Visit Duration

Visit duration is measured based on unique identifier (MAC ID probes) from user’s smartphone. It could approximate the time of a visitor entered and left the store. You can know how long your customer stay in your store. And also, by looking at the dwell time and sales transaction, management will be able to find the pattern matching.

Outside Traffic

FootfallCam can detect user’s position within 100m radius. Based on the signal strength, it detects passer by outside the store and gives you the storefront conversion rate by comparing with the store footfall. We will have answer for queries such as how many missed opportunity outside the operating hours and how many people passing through has actually visited the store.

Returning Customer

Distinguishes if the customer has visited the store before by comparing the unique identifies with previous records. You are able to find out how many customers have returned in last 3 months. This can be used to measure customer loyalty via the frequency and shopping habits of returning customers.

Zone Analytics

Location analytics uses advanced data mining techniques tuned to the type of data Wi-Fi location provides. Location analytics provides two methods for defining the different zone or area of a venue. Explicit zones can be defined by the user as named polygons that represent known defined spaces. It could be identifiable by its Zone ID.



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