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VS321 Wireless AI Occupancy Sensor for Smart Office & Workspace Management

Tired of wiring hassles? The 𝗯𝗮𝘁𝘁𝗲𝗿𝘆-𝗽𝗼𝘄𝗲𝗿𝗲𝗱 VS321 Wireless AI Occupancy Sensor offers a simple, wireless solution for people counting and desk occupancy—perfect for offices, meeting rooms, and campuses.

Key features include:
🔋 10+ years battery life, no wiring needed
🌡️ Built-in temperature, humidity, and light sensors
📊 Up to 95% occupancy accuracy with 100% anonymous detection
🛠️ Unique Milesight D2D control for easy management

Simplify your building operations and boost efficiency with VS321.

  • OVERVIEW

    The Milesight VS321 Wireless AI Occupancy Sensor is a battery-powered solution designed to optimise modern workplaces through highly accurate, fully anonymous people counting and desk occupancy detection. With up to 95% occupancy accuracy, the VS321 delivers reliable, real-time insights that help organisations improve space utilisation, reduce energy waste and create smarter working environments.

    Accurate People Counting & Desk Occupancy Detection

    Supporting both regional people counting and workstation-level desk detection, the VS321 enables data-driven workplace optimisation. With configurable detection intervals and 4–8 desk detection zones, it provides actionable occupancy insights to support hot-desking, layout planning and flexible office strategies.

    By understanding how spaces are truly used, businesses can unlock measurable performance improvements across their workplace footprint.

    100% Anonymous AI Detection

    The VS321 combines PIR motion sensing with an RGB camera and embedded AI algorithms to achieve up to 95% detection accuracy. Detection is triggered by motion, reducing unnecessary power usage while ensuring precision.

    Importantly, the device is fully GDPR-compliant and performs 100% anonymous detection, no images are stored or transmitted. This makes it ideal for organisations seeking accurate people counting without compromising privacy.

    Wireless Installation with 10+ Years Battery Life

    Designed for effortless deployment, the VS321 is completely wireless and battery-powered, offering 10+ years of battery life through intelligent power management and low-power AI processing.

    With no cabling or construction required, it is perfectly suited to retrofits, heritage buildings and complex office layouts. Installation is fast, flexible and cost-effective.

    Smart Lighting & HVAC Automation

    As a powerful wireless occupancy sensor for lighting control, the VS321 enables automation based on real usage. When occupancy is detected, lighting can automatically adjust to reduce energy consumption and improve comfort.

    Integrated temperature, humidity and ambient light sensors provide additional environmental awareness, while occupancy data can support HVAC adjustments for enhanced energy efficiency.

    LoRaWAN® Connectivity & Milesight D2D Control

    The VS321 supports LoRaWAN® connectivity for remote monitoring, data visualisation and centralised management.

    It also features Milesight Device-to-Device (D2D) control, enabling direct communication between compatible devices without requiring a gateway. This allows ultra-low latency automation and simplified smart office deployment.

     

  • PRODUCT DESCRIPTION

    VS321 is a low-power, battery-operated wireless occupancy sensor empowered by advanced AI algorithms. It achieves up to 95% occupancy detection accuracy powered by its AI algorithm. It is equipped with built-in temperature, humidity, and ambient light sensors to provide comprehensive environmental monitoring. Its wire-free design enables effortless and flexible installation. With simple configuration and wireless detection, VS321 can be integrated with the Milesight LoRaWAN® gateway and Milesight Development Platform, enabling remote monitoring, data visualization, and centralized management. As a Milesight D2D controller, VS321 seamlessly communicates with other Milesight D2D devices, peer-to-peer interaction without gateway dependency. VS321 can be used in scenarios such as meeting rooms, offices, and campuses to detect space occupancy or personnel activity.

    Features

    • Achieves up to 95% detection accuracy1 with advanced AI recognition and analysis technologies
    • Adopting a low-power AI chip and PIR triggered detection, combined with scheduled hibernation, effectively reduces overall power consumption
    • Supports switching between People Counting and Desk Occupancy modes to meet various needs across different scenarios
    • Integrates temperature, humidity and light sensors to enable comprehensive environmental awareness and intelligent scenario-based control
    • Wireless and battery-operated design ensures simple, fast and easy installation
    • Stores local historical records and supports retransmission to prevent data loss
    • Fully GDPR-compliant, with no image collection, ensuring privacy and data security
    • Supports Milesight D2D protocol for ultra-low latency, direct device-to-device control without a gateway
    • Fully compatible with standard LoRaWAN® gateways and network servers
    • Supports remote monitoring and management via the Milesight Development Platform

     

  • SPECIFCATIONS

    Measurement

    People Counting & Occupancy Detection

    Field of View 129 ° Horizontal, 93 ° Vertical
    Installation Height 2.4m ~ 4m
    Required Illumination 50 Lux
    PIR Measuring Angle 115°
    PIR Detection Area Radius: 4 m (15°C, 3m Installation Height)

    Temperature

    Operating Principle Digital CMOSens® technology (MEMS)
    Measuring Range -40 °C~125 °C
    Accuracy ±1 °C
    Resolution 0.1 °C

    Humidity

    Operating Principle Digital CMOSens® technology (MEMS)
    Measuring Range 0~100 %RH
    Accuracy ± 2.5 %RH
    Resolution 0.5 %RH

    Light

    Operating Principle Photodiode
    Status Bright/Dim

    Transmission

    Protocol LoRaWAN®, Milesight D2D
    Antenna Internal Antenna
    Frequency CN470/IN865/RU864/EU868/US915/AU915/KR920/AS923-1&2&3&4
    Tx Power 16 dBm (868 MHz)/20 dBm (915 MHz)/19 dBm (470 MHz)
    Sensitivity -137 dBm @300bps
    Work Mode OTAA/ABP Class A

    Others

    USB 1 × Type-C Port for Temporary Power Supply2
    LED Indicator 1 × Status Indicator
    Button 1 × Multi-function Button

    Software

    Configuration Bluetooth
    Advanced Feature Milesight D2D Controller, Data Storage (2045 entries), Data
    Retransmission, Data Retrievability, Threshold Alarm, Hibernate Mode

    Physical Characteristic

    Power Supply 4 × 2700 mAh ER14505 Li-SOCl2 Replaceable Batteries
    Battery Life3 (Working 8h per day, 5-min detection and report interval, 25 °C) Around 11.3 Years (SF7, EU868)
    Around 10.8 Years (SF7, US915)
    Around 7.5 Years (SF10, EU868 & US915)
    Operating Temperature 0°C ~ +30°C
    Relative Humidity 0 ~ 95% (Non-condensing)
    Ingress Protection IP30
    Housing & Colour Plastic (UL94, V2) & White/Black (Optional)
    Weight 145g (Batteries excluded)
    Dimension 100 × 100 × 26 mm (3.94 × 3.94 × 1.02 in)
    Installation Ceiling Mounting (Screws or Adhesive Backed Fixed)

    Approvals

    Regulatory CE, FCC
    Environmental RoHS(Planned)

    1 Tested within Optimal Detection Range.
    2 Prolonged operation may lead to overheating and reduced detection performance.
    3 Tested under laboratory conditions and for guideline purposes only.

     

Milesight VS321 Wireless AI Occupancy SensorAuthorized

$272.00 ex GST

The Milesight VS321 Wireless AI Occupancy Sensor delivers up to 95% accurate, anonymous people counting and desk detection. Battery-powered with 10+ years of life, it monitors occupancy, temperature, humidity, and light while enabling smart lighting and HVAC automation for efficient, flexible workplaces.

Part Number: VS321 Category: Products

Purchase Options

Wireless AI occupancy sensor in sleek white.

Part number: VS321-915M-WHITE

Unit Price: $272.00

$272.00 ex GST

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Wireless AI occupancy sensor in stylish black.

Part number: VS321-915M-BLACK

Unit Price: $272.00

$272.00 ex GST

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Product Resources

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VS321 AI Occupancy Sensor Datasheet

VS321 AI Occupancy Sensor User Guide

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