Milesight IoT AI Stereo Vision contador de personas VS125-L08EU-White

Unlike conventional single-lens or infrared counters, the VS125-L08EU-White uses AI stereo vision to distinguish individual people with over 98% counting accuracy, even in busy entrances or challenging lighting. This ceiling-mounted sensor captures bi-directional footfall, zone occupancy, and queue length without requiring a separate server for basic operation.

Highlights

• AI stereo vision technology with dual 8mm fixed lenses for depth perception
• LoRaWAN (EU868) and Ethernet connectivity for flexible data backhaul
• Bi-directional counting, zone counting, and queue detection built in
• PoE (802.3af) or 5V DC power options simplify installation
• Internal storage for up to 16,000 records ensures data continuity during network outages

In daily use

Mount the VS125-L08EU-White at a height between 2.2 m and 4 m above the floor, and it immediately begins tracking people passing beneath. The web GUI or Milesight IoT Cloud allows remote configuration of counting lines, zones, and alerts. With a 60° horizontal field of view, one unit covers standard doorways and corridors. The IP30-rated housing suits indoor retail, office, and public building environments.

Full specifications

• Detection technology: AI stereo vision
• Counting accuracy: ≥ 98%
• Mounting height: 2.2 m to 4 m (7.2 ft to 13.1 ft)
• Lens: dual 8mm fixed
• Field of view: horizontal 60°, vertical 40°
• Wireless connectivity: LoRaWAN (Class A/C), EU868
• Wired connectivity: Ethernet (RJ45)
• Power input: PoE (802.3af) or DC 5V/1A
• Data output protocols: LoRaWAN, MQTT
• Operating temperature: -20°C to +50°C (-4°F to +122°F)
• IP rating: IP30
• Key features: bi-directional counting, zone counting, queue detection, tamper detection
• Configuration interface: web GUI, Milesight IoT Cloud
• Internal data storage: up to 16,000 records
• Housing material: PC + ABS
• Colour: white
• Installation type: ceiling mount

Final note

The VS125-L08EU-White is a reliable choice for retail analytics, smart buildings, and occupancy management where accurate people counting and queue insights are needed.