People Counting & Real World

Visitor Traffic Analysis System

Why there is a need to

visitor counting and attribute classification?

Classification of visitors is an important part of any retail business. People counting systems are used to estimate trends of attendance, to schedule staff work, to manage sales staff performance, to evaluate the effectiveness of promotions and marketing activities, as well for optimal organization of the sales object, in accordance with trends in attendance.

  • Count customer enter/exit, people count
  • Generate factional business insight and intelligence
  • Sales against people counting statistics
  • Age and gender statistics
  • Predicting sales based on location
  • Analytics triggers and alerts. (High occupancy, Long Queue, Age group)
  • Marketing campaign statistics
  • Face similarity statistics
  • Conversion Ratio
  • Vaccination Status
  • Vehicle Counting and profiling

People Counting Integration to POS

Marketing Campaigns KPI Measurement

PCS helps you run marketing campaigns. Enter the dates, locations and budget of your campaign, then watch how the stores and dates you are targeting perform compared to your other times and locations. It's the best way to measure how effective your marketing is.

People Traffic Analysis Platform

People Counting System

The following are some of the customer using the product

The Visitor Management System has been sold to more than 200 customers since its first launch since 2010. The following are some of the customer using the product

What the system can do?

  • Understand location traffic
  • Staff Resource Planning
  • Manage occupancy capacity
  • Identify the average duration of visit
  • Breakdown of statistics on zone
  • Historical statistics for analysis
  • Discover the low and high demand hours
  • Planning of traffic flow to obtain best occupancy impact to business
  • Simultaneous multiple face processing from single source.
  • Partially occluded faces recognition
  • Live face detection
  • Emotions recognition (anger, disgust, fear, happiness, sadness and surprise)
  • Facial attributes (smile, open-mouth, closed-eyes, glasses, dark-glasses, beard and moustache)
  • Age and Gender classification
  • Identification capability, 1-to-many mode (identification) – Cloud processing 40,000 faces per second
  • Statistics on vehicle make, model, color
  • Vehicle visit profiling with duration of stay.
  • Zone parking statistics
  • Vehicle occupancy alerts
  • Historical statistics projection and predictions
  • Queue limit alert
  • Queue traffic historical charts
  • Average waiting time per person
  • Staff resource planning
  • Status of vaccination status, type of vaccination, zone status, Body temperature, mask detection.
  • Real time statistical view
  • Historical view
  • Current and historical contact tracing

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