Differences In People Counters Based On Different Technologies (Infrared, 2D, 3D And AI People Counter)

Through the continuous development of technology, counter products have also made great technological progress, from the initial Infrared people counter arrive 2D people counter , 3D people counter , current The AI ​​fights back.

Each advancement brings revolutionary changes to the counter.

Infrared counter , connected through the transmitter and receiver, counting is performed when the infrared rays are blocked, and the counting purpose is achieved through simple principles. Usually installed on both sides of indoor walls, the counting accuracy is low due to environmental factors such as installation distance, installation height, lighting effects, and whether there are objects blocking it.

A  2D People's State Usually installed on the roof, it scans downwards, and after setting an area, it counts the targets passing through the area. The device uploads data in real time through the connected network, and the counting information can be clearly viewed in the background. The accuracy of this device is relatively high, but it can only be installed directly above the area where counting is required. Different heights are ensured through different lenses to ensure accuracy. There are certain restrictions on the installation location. Based on two-dimensional image processing technology, objects in plane images are identified and counted through image segmentation, edge detection and other methods.

3D people counter Use 3D imaging and sensor technology to obtain three-dimensional information of target objects, including shape, position and attitude, to achieve more accurate counting. The counter is equipped with a rotatable lens, and the rotation angle is 180 °, can be installed directly or diagonally above. Compared to 2D lenses, their installation is more flexible. The accuracy has also been greatly improved. And can be applied to most environments.

Artificial Intelligence People Counter It can handle problems such as complex backgrounds and occlusions from different angles, with high flexibility and accuracy. Based on deep learning and computer vision technology, the model is trained to identify and count specific objects in images or videos. Suitable for complex statistical tasks, such as traffic flow statistics, crowd density monitoring, etc.

Multiple counters are suitable for different installation environments, and there is no difference in the quality of the product itself. They all excel in their respective fields. Different counters can cope with different environments, and even in different scenarios, they can grasp accurate information and help us make better judgments.