Milesight sensore IoT AI ToF per conteggio persone VS133-868M-nero WiFi LoRaWAN

The Milesight IoT VS133-868M-Black is an advanced AI Time-of-Flight (ToF) people counting sensor designed for accurate occupancy monitoring in commercial and industrial environments. It combines LoRaWAN and Wi-Fi connectivity for flexible data transmission, ensuring reliable performance in smart building, retail, and office applications.

Advantages

With a detection accuracy of ≥98%, the VS133 delivers precise bi-directional counting, zone counting, dwell time analysis, and queue management. Its AI ToF technology ensures privacy protection as no images or videos are captured, fully complying with GDPR. The sensor supports ceiling or wall mounting and offers a detection height range of 2m to 4m, covering up to 20m² at 3m height.

Suitable for

• Smart offices for occupancy-based HVAC and lighting control
• Retail stores for customer traffic analysis
• Public facilities for queue management and space utilization
• Warehouses for personnel counting and safety monitoring

Key specifications

• Sensing Technology: AI Time-of-Flight (ToF)
• Detection Accuracy: ≥98%
• Detection Height Range: 2m to 4m
• Max Detection Area: Up to 20m² (at 3m height)
• LoRaWAN Frequency: EU868 (868MHz)
• LoRaWAN Class: Class A/B/C
• Wi-Fi Standard: 802.11 b/g/n
• Power Supply: USB Type-C, 5V/1A
• Operating Temperature: -20°C to +60°C
• Operating Humidity: 0% to 95% RH (non-condensing)
• Mounting Type: Ceiling/Wall Mount
• Data Output Protocols: LoRaWAN, MQTT, HTTP
• Configuration Interface: NFC, Web GUI
• Privacy Protection: No image/video capture, GDPR compliant
• Counting Features: Bi-directional counting, zone counting, dwell time, queue management
• Antenna Type: Internal Antenna
• Housing Material: PC + ABS
• Ingress Protection (IP Rating): IP30

Recommendations

For optimal performance, mount the sensor at a height of 2.5m to 3.5m with a clear field of view. Use the NFC or Web GUI for easy configuration. Pair with a Milesight LoRaWAN gateway for seamless data integration.