Analytics Software Management System

Cloud or Corporate Server Option Available.

Can manage 1-2000 counters

Data Integration API.

15+ Pre Defined Business Reports and 60 + KPI’s

Centralized Management for all counters.

Download Datasheet

3D People Counter & Wifi Analytics

Most accurate. Using 3D counting technology

Most features rich. Wi-Fi analytics, video counting, etc.

Most powerful hardware. With quad-core 1GHz processor and built-in graphics card

Most comprehensive software suite. Manage multiple counters from the head office

We are the first in the world who combine people counter and Wi-Fi analytics into a single device. We are committed to continually maintain our market leading position, bringing a great deal of strategic foresight that our customers needed.

Hardware Specs

Software Specs

Reporting Specs

Most Accurate – 95%+ accuracy
Most Reliable – Hardware Lifespan 25 years
Most Advanced – Quad Core 1.2 GHz processor
Bi-directional Feature
Interface http/https compatible
Operating System Linux Based
POE Power Connection

People Counting Software that Provide Centralized Analytical Functions
Cloud or Corporate Server Option Available
Can Manage 1-2000 counters
Data Integration API
15+ Pre- Defined Business Report
60+ KPIs Reports
Centralized Management for all Counters
Download Spec Sheet

Cloud Based
Store Daily Report
Online health check
Sales Conversion Report
Auto email reports in pdf, excel and API formats
BIP Feature – Traffic Data Reports
Conversion Rates vs Traffic
Scheduled Automated Reports, Turn in Rate, Outside Traffic Reports

6 × Metrics in One Device

Combining 2 Technologies – Video Counting + Wi-Fi Counting

Our device provides analytics counting and Wi-Fi beacon tracking in one device, giving you 5 business metrics:

Metric 1: 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.

Metric 2: 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.

Metric 3: 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.

Metric 4: Outside Traffic

Our counters 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.

Metric 5: 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

Metric 6: 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.