There are several types of passenger counters from a technical perspective, infrared, 3D , AI , and so on. Today, let's talk about how 3D passenger counters work. It is equipped with a dedicated video hardware acceleration engine and a high-performance communication media processor. It adopts an independently developed dual-camera depth algorithm model to dynamically detect the cross-sections, heights, and movement trajectories of passengers, thus obtaining high-precision real-time passenger flow data. It is not affected by ambient light and light and shadow effects, nor by the body shapes of passengers, the colors of their clothes, the colors of their hair, or items like hats and scarves. What's more, it is not affected by situations where passengers pass side by side, cross each other, or block each other while passing. Moreover, Highlight HPC168 Passenger Counter has a built-in image anti-shake algorithm, which can adapt to the shaking during the operation of buses.
How do automatic passenger counters work? how to count people in a bus?
From a technical perspective, there is a rich variety of types of passenger counters, such as infrared types, 3D types, AI types, and so on. Today, we will focus on exploring the working principle of 3D passenger counters.
This kind of counter is equipped with a dedicated video hardware acceleration engine, combined with a high-performance communication media processor, which can efficiently process complex image data. It adopts an independently developed dual-camera depth algorithm model and can conduct dynamic detection of passengers' cross-sections, heights, and movement trajectories. Relying on this advanced technology, it can obtain high-precision real-time passenger flow data.
It is worth mentioning that 3D passenger counters have excellent environmental adaptability. They are not interfered by changes in ambient light and light and shadow effects, and can work stably both in the bright daytime and in the dim night. At the same time, it will not affect the counting accuracy due to passengers' body shapes, the colors of their clothes, the colors of their hair, or even the situations of wearing hats, scarves, etc. In addition, even in complex scenarios where passengers pass side by side, cross each other, or block each other while passing, it can still count accurately. Moreover, Highlight HPC168 counter also has a built-in image anti-shake algorithm, which can well adapt to the shaking generated during the operation of buses, ensuring the stability and reliability of data collection.
