VS135 AI ToF People Counting Sensor

VS135 is a high-end AI people counting sensor with 2nd-gen ToF technology and deep learning algorithms, delivering an industry-leading 99.8% counting accuracy for indoor and semi-outdoor scenarios. GDPR-compliant with no image collection, it features an IP65 waterproof rating and supports up to 6.5m high-ceiling mounting, adapting to low-light, dark and complex environments. With four flexible connectivity options (PoE/Cellular/Wi-Fi HaLow/LoRaWAN®), intelligent detection and multi-dimensional analysis functions, it enables multi-device stitching and heat map analysis, and seamlessly integrates with building management systems. It is the ideal solution for precise crowd monitoring and space utilization optimization in retail, airports, supermarkets and more.

VS135 Series Parameters Comparison
VS135 Series Parameters Comparison
Parameter VS135-P(PoE) VS135-L08EU(Cellular) VS135-HL-xxxM(Wi-Fi HaLow) VS135-xxxM(LoRaWAN®)
Core Connectivity 802.3at PoE+ / Ethernet 4G LTE CAT4 Wi-Fi HaLow (802.11ah) LoRaWAN®
Frequency Band - LTE/WCDMA/GSM B1/B3/B8 etc. 863.5~867.5/902.5~927.5MHz CN470/EU868/US915 etc.
SIM Slot - 1×Nano SIM (4FF) - -
Exclusive Feature BACnet/IP, Alarm I/O - - 16dBm Tx / -137dBm Sens
Multi-Device Stitching Up to 8 devices Up to 8 devices Up to 8 devices Up to 4 devices
Shopping Cart Detection Supported Supported Supported Not Supported
Power Supply 802.3at PoE+ / DC12V/2A DC12V/2A DC12V/2A DC12V/2A
Avg. Power Consumption Std:9W / High:8W Std:8W / High:8W Std:8W / High:7W Std:8W / High:7W
Weight 419g 412.8g 409.8g 409.8g
Installation Height Std:≤3.5m / High:≤6.5m Std:≤3.5m / High:≤6.5m Std:≤3.5m / High:≤6.5m Std:≤3.5m / High:≤6.5m
Local Storage 1M records, CSV export 1M records, CSV export 1M records, CSV export 1M records, CSV export
Ingress Protection / Temp IP65 / -20°C~50°C IP65 / -20°C~50°C IP65 / -20°C~50°C IP65 / -20°C~50°C

Application scenarios

AI ToF People Counter Pro is ideal for footfall analytics in supermarkets and shopping malls, occupancy statistics in smart office towers, passenger-flow analysis on buses or metros, and visitor counting in public restrooms

Application Case

◂ Pain Point▸

Seat Ghosting: Students reserve seats with personal items, leading to unfair and inefficient use of limited study spaces.

Space Shortage: Growing student population increases demand, making equitable access difficult.

Lack of Real-Time Visibility: No digital monitoring to track actual seat usage or identify underutilized areas.

Manual Management Burden: Reliance on manual inspections causes delays, inconsistent data, and limited optimization capacity.

◂ Solution▸

Deploy a scalable Milesight LoRaWAN® IoT solution for library space and environmental management:

  1. Campus LoRaWAN® Network: UG65 indoor gateways form a low-power, scalable backbone covering 200+ study spaces across multiple floors.
  2. Precise Occupancy Monitoring:
    VS341 sensors at each desk/cubicle detect active seat usage.
    VS121/VS13x/VS351 sensors in public areas provide real-time people counting and crowd density data.
    ML algorithms distinguish "active occupancy" from "passive seat hogging".

  3. 3D Visualization: Real-time seat status displayed on a public 3D floor plan with color-coded indicators (red/yellow/green).
  4. Comprehensive Environmental Monitoring:
    AM308/AM103 sensors track temperature, humidity, CO₂, and VOCs for healthy indoor air quality.
    EM300-ZLD/MLD leak sensors protect archives from water damage.
    WS301 magnetic switches monitor emergency exit security.

  5. Unified Platform: All sensor data integrates into Sharp Peak’s Optimus IoT platform, enabling unified visualization, automated alerts, and intelligent reporting alongside existing facility management systems.

Result: Eliminates seat ghosting and optimizes space utilization; provides real-time visibility into occupancy and environmental conditions; reduces manual management workload; ensures a safe, healthy study environment; and enables data-driven operational improvements for equitable access to study resources.

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