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3D depth camera ToF can achieve safer and more accurate facial recognition

3D depth camera obtains the depth image of the object mainly in two ways: active depth measurement and passive depth measurement. Active depth measurement mainly adopts the tof sensor indirect ranging method, that is, by emitting modulated infrared light, using the ToF area array sensor to receive the reflected back Compared with other depth acquisition methods, ToF technology has the advantages of simple principle, strong anti-interference ability, high imaging accuracy, good portability and easy integration. At present, it has a wide range of applications in many fields such as intelligent monitoring, auto-driving, UAV obstacle avoidance, 3D scene reconstruction, and virtual and augmented reality. ToF technology has the advantages of simple principle, strong anti-interference ability, high imaging accu racy, good portability and easy integration. At present, it has a wide range of applications in many fields such as intelligent monitoring, auto-driving, UAV obstacle avoidance, 3D scene reconstruction, and virtual and augmented reality. 3D depth camera technology uses sensors to measure the distance and contour of the target, and realizes the collection and operation of high-precision 3D information by smartphones. It has the advantages of high effective depth information, long working distance, flexible structure and layout, and rich application scenarios. Specifically, the tof sensor technology can sense 300,000 effective depth information points, and the working distance can reach 2-5 meters, which is many times that of the structured light technology. The baseline of the ToF module is close to zero, compared with the structured light Technology has greatly improved. Specific to the application level, the 3D depth camera ToF can achieve safer and more accurate facial recognition.

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