Retail People Counter

The best footfall people counter camera is placed at any entrance amoung shopping mall, retail chains, shops, stores, library, and park with high people counting accuracy. T3 video people counter camera system can monitor every person enters and exits the entrance in real-time and how traffic convert to sales. With customer insights about visitor /shopper footfall traffic, Reamol 3D  people couning camera system will help managers well understand of your customers and drive business following correct directions.

T3 video people counter camera can work indepently without other device. The people counter camera can work in group with cloud data analysis for shopping mall, retail chains, big buildings.

New T3 video people counter detecting width is over 2.5m at 3m height. It can save 50% cost than our last generation people counter: VPC-X,which can detect 1.5m, 2.5m width need 2units working togather.

  • Quad cores 1.2GHz DSP
  • Accuracy: >98%
  • Placed Height: 2.0m-4.0m
  • Detected Width: 2m-2.5m
  • Counting Ares;4 areas
  • Camera Angle: +/-60degrees
  • Supoort outdoor waterproof IP67
  • LED lamp for counting in dark environment
  • Http protocol
  • iFootfall Analytics platform
T3 footfall counter


  • All-winner Quad-core DSP T3, 1.2Ghz
  • High accuracy (average 98%+)
  • Enhance object filter with AI people tracking arithmetic
  • Support binocular head and shoulder counting mode and head tracking mode
  • 270° bracket for any position
  • Advanced solutions for retails entrance
  • Flexiable camera turnover angle with+/-60degrees
  • Easily placed at most of entrance for mall, stores, parks, stations
  • Binocular recognition for stores and shopping mall
  • Online health checking
  • Support iFootfall platfrom
  • 9-36V DC, 5A fuse
  • IP67 waterproof for outdoor park, square placement
    Advanced Video People Counter Sensor

People Counter Size

T3 People Counter Size

Footfall Counter Installation

T3 People Counter camera


Model: VPC-T3 ( adavanced 3D people counter camera)
OS: Linux
Direction: 4area, 3 directions people counting for each area
Algorithm: 3D binocular visual  & pedestrian recognition
CPU: Quad-core CPU All-winner T3, 1.2Ghz
Lens: 2.8mm default 3.0meter, 4.0mm for higher entrance
Resolution: 704*576
Illumination: 0.001Lux
Frame Rate: 18fps
Detection Range: Height: 2.8-3.4m, Width:2.0-2.5m
Children Filter: Tall <1.2m
Filter: Children, cart, bag, hat, pat, hair and glasses
Network: 1pcs RJ-45
Power: 9-36V DC
Temperature: -40℃ to 70℃
Size/Weight: 195*55*60mm/0.45Kg
IO Input 2PCS for door sensor
RS485 1pair
ACC Power delay and reset people counting result
Video Output 1CH Round 4PIN aviation connector for monitor