Product Introduction; Overview; Key Features; Hardware Introduction - IME VS133-868M User Manual

Ai tof people counting sensor
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1. Product Introduction

1.1 Overview

VS133 is a sensor that uses second-generation ToF technology to accurately count people. This
technology provides more precise depth maps and longer detection distances while maintaining
an excellent privacy protection rate. The advanced ToF technology combined with an AI
algorithm enables the sensor to handle complex scenes and distinguish non-human objects with
up to 99.8% accuracy. VS133 sensor can be used in conjunction with the Milesight LoRaWAN
gateways and the Milesight IoT Cloud. With easy installation, VS133 sensors are ideal for
entrances or corridors in retail stores, malls, offices, subways, and other locations.

1.2 Key Features

Up to 99.8% accuracy combining the 2nd generation ToF technology and AI algorithm
Working well even in low-light or completely dark environments with great lighting
adaptability
Free from privacy concerns without image capturing
Allow to collect people counting data by differentiating between children and adults and
detecting staffs via identification features for clearer people analysis
Smart U-turn detection to filter redundant counting of people wandering in the area
Support queuing management via dwell time detection and regional people counting
Support Group Counting function that based on the distance, moving direction, and speed
difference to gain deeper insights into customers' behaviors
Wider field angle to obtain longer-distance depth maps and cover a larger area
Automatically detect the optimal installation height, facilitating fast deployment and
intelligent detection
Store a million counting data locally and securely
Support video validation function to help customers verify statistical accuracy
Easy configuration via Wi-Fi for web GUI configuration
Function well with standard LoRaWAN
Quick and easy management with Milesight IoT Cloud

2. Hardware Introduction

2.1 Packing List

gateways and network servers
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