AI ToF people counting sensor EU868 Milesight VS135

The Milesight VS135 is designed for locations where simple entrance counting is not enough and where useful data about movement, dwell time, and area usage is needed. It uses ToF sensing with AI-based analysis to detect and interpret people flow with high accuracy while keeping the process anonymous. This makes it suitable not only for basic counting, but also for deeper retail and smart building analytics.

For this version, the key point is that it is the standard model, not the high-ceiling version. It is intended for installation heights up to 3.5 m and fits typical indoor environments such as shops, entrances, checkout zones, corridors, service areas, foyers, and other standard ceiling-height spaces. That is where the VS135 delivers its strongest value for people flow analysis and operational insight.

The sensor supports bi-directional counting, regional counting, and dwell time analysis. This means it can do more than report how many people entered or exited. It can also show where people stayed and which areas drew more attention. For retail operators, this is useful for evaluating traffic paths, product zones, promotional areas, and queues. In smart buildings, the same data can help improve space operation and align services with real usage.

The VS135 also supports group counting, adult and child differentiation, staff exclusion, U-turn filtering, tailgating detection, and shopping cart fill level detection. That makes it especially useful for retail projects where the goal is not only traffic counting, but also better understanding of shopper behavior and store operations. Heat maps and dwell data help support layout and merchandising decisions with real usage patterns.

For integrators, another important point is that the VS135 can stitch multiple devices into one analysis area. This helps larger or more complex spaces be managed as one connected insight layer instead of separate isolated sensor points. The EU868 standard version is therefore a strong option for projects that need accurate people analytics, privacy-focused sensing, and scalable area analysis in one sensor platform.