Power Supply: DC 2nd generation ToF Technology and AI Algorithm Customized Irregular entrances and Exit Areas Bi-directional Counting / Filter U-Turn / Staff Detection Children / Adults Differentiation Equipped with Wi-Fi for Web GUI Configuration Acquire People Counting Data from LoRaWAN® Obtain Depth Map without Images Capturing, Free from Privacy Concerns ToF FoV: 98 ° Horizontal, 80 ° Vertical Recognition Range: 4 * 3m ( Based on 3.5m Installation Height & 1.7m Object Height) Accuracy: Up to 99.8%
Milesight IoT AI ToF People Counting Sensor, VS133-868M-White WiFi / LoRaWAN (VS133-868M-White)
The VS133-868M-White is an AI Time-of-Flight (ToF) people counting sensor from Milesight IoT designed for highly accurate, privacy-respecting visitor analytics in modern buildings. Using ToF 3D depth sensing combined with embedded AI algorithms, the device can reliably count people entering and leaving defined areas, even in challenging lighting conditions. The "868M" model variant operates on the 868 MHz band for LoRaWAN connectivity and also offers Wi-Fi, enabling flexible integration into existing IT or IoT infrastructures.
Technically, the sensor is built for overhead ceiling mounting at typical entrance heights. The ToF technology emits harmless infrared signals and measures the time they need to return, creating a depth map that the AI interprets to distinguish people from objects. This allows high counting accuracy and reduces typical errors from shadows or overlapping individuals. With dual connectivity (Wi-Fi and LoRaWAN), it can send counting data either into local networks (for example to an in-house server or cloud platform) or over long range via LoRaWAN gateways, supporting low-power, wide-area deployments in large buildings or distributed sites.
The VS133-868M-White is typically used in retail stores, shopping malls, public buildings, airports, offices, co-working spaces, educational institutions and smart city projects. Facility managers and retailers can use the precise visitor counts to optimize opening hours, staff schedules, queue management and space utilization. In offices or flexible workspaces, the sensor supports workspace analytics, helping to understand how meeting rooms, zones and entrances are used. In public or corporate buildings, people counting data can be linked to building management systems (BMS) to control HVAC and lighting based on real occupancy instead of estimates.
Key advantages include high accuracy through AI and ToF depth sensing, robust performance in various lighting conditions, and strong privacy: the device uses depth information rather than identifiable video images, which helps to comply with strict data protection requirements. The combination of Wi-Fi and LoRaWAN connectivity offers great flexibility in deployment: Wi-Fi is ideal for locations with existing network coverage, while LoRaWAN supports battery-friendly, wide-area networking through centralized gateways, reducing wiring and infrastructure costs. The sensor's compact white housing is designed to blend unobtrusively into modern ceilings.
From a sustainability and environmental perspective, people counting contributes indirectly but significantly: by enabling data-driven control of heating, cooling and lighting, the VS133-868M-White helps reduce unnecessary energy consumption and therefore CO? emissions. Optimized space utilization can reduce the need for additional building space and associated resource use. Milesight IoT is known as a manufacturer focused on smart building, smart city and environmental monitoring solutions, which are typically used to enhance energy efficiency, indoor comfort and operational transparency. By choosing such IoT solutions, customers support a shift towards more sustainable, data-driven management of buildings and resources.
Milesight IoT specializes in professional IoT devices and connectivity solutions, including gateways, sensors and network infrastructure for LoRaWAN and IP-based networks. The company's portfolio is widely used in smart buildings, industrial IoT and environmental monitoring. While specific public sustainability programs or certifications may vary by region and time, the core use cases of Milesight IoT devices often center on improving energy efficiency, reducing waste and enabling smarter operations. By deploying the AI ToF People Counting Sensor VS133-868M-White, customers are not just investing in precise visitor analytics; they are enabling more efficient use of existing infrastructure. This helps lower operating costs and supports broader sustainability goals, allowing each purchaser to make a tangible contribution to more responsible and climate-aware building management.
