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F1.2 TOF Lens for Machine Vision

Machine vision camera lens

F1.2 TOF Lens for Machine Vision

1 Accurate depth information: The TOF camera can provide up to 300,000 depth information points, which is more accurate and rich than traditional binocular vision, helping to build high-precision 3D models. This is very important in scenarios such as autonomous driving and robot navigation.

2Anti-environmental interference :TOF cameras can maintain good depth perception performance in complex environments, such as direct sunlight and haze, overcoming the limitations of traditional vision systems.

3 Cost advantage: As the cost of TOF chips and components declines, the overall cost of TOF cameras is also decreasing, which is conducive to large-scale commercial applications.

4 Wide application prospects: In addition to the fields of autonomous driving, robotics, and medical care you mentioned,TOF technology can also be applied to 3D modeling, AR/VR, human-computer interaction, security monitoring and other fields, with broad prospects.

  • SENSOR 1/4.5 GTO F0503
  • F/NO 1.2
  • EFL 1.93
  • FOV 109.6

TOF lens can capture accurate 3D face model information.

By analyzing the depth and spatial relationship of face features, more secure and reliable face recognition unlocking can be achieved.

TOF lens can accurately obtain 3D information of biometric features such as faces and hands.

These stereoscopic biometric data can be used in payment and other security authentication scenarios to improve the security of authentication.

Compared to traditional 2D photos or fingerprints,3D biometrics are harder to copy and forge.

TOF lens can capture the user's gestures, movements and other accurate 3D data.

This depth information can be used to enable more natural, immersive human-computer interaction in AR/VR devices.

The 3D depth information obtained by the TOF lens can be used for 3D modeling and measurement functions of mobile phone shooting.

In short, with its high-precision 3D imaging capability,TOF lens has a wide range of application prospects in the fields of biometrics, secure payment, AR/VR interaction, etc., bringing a more intelligent and secure new experience to mobile phones.

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