People counting technology mainly includes infrared sensors, 2D single‑camera solutions and modern 3D dual‑lens AI systems.
Infrared and 2D cameras are easily affected by shadows, bags and crowded people, leading to wrong counting results. 3D dual‑lens devices use stereo vision to capture real‑world depth information.
AI algorithms detect human bodies and track moving paths. Depth data filters interference, ensuring stable counting under changing light and dense crowds, while protecting user privacy without facial recognition.
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