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F1.2 TOF Lens for Machine Vision - Accurate Depth Sensing from Leading China Suppliers & Factory
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F1.2 TOF Lens for Machine Vision - Accurate Depth Sensing from Leading China Suppliers & Factory

The TOF camera is a groundbreaking device that delivers exceptional depth information, providing up to 300,000 depth data points. This superior accuracy surpasses traditional binocular vision, making it essential for constructing high-precision 3D models, particularly in critical applications like autonomous driving and robot navigation, One of the standout features of our TOF cameras is their ability to maintain exceptional depth perception even in challenging environmental conditions, such as bright sunlight and haze. This capability effectively overcomes the limitations associated with conventional vision systems, ensuring reliable performance in various scenarios, Additionally, as the costs of TOF chips and components continue to decrease, our TOF cameras are becoming more economically viable for large-scale commercial applications. Suppliers in China are now able to benefit from this cost advantage, making it easier to integrate advanced depth sensing technology into a wide range of products, The application prospects for TOF technology are vast, extending beyond autonomous driving and robotics to include 3D modeling, AR/VR, human-computer interaction, and security monitoring. With an ever-expanding market, our factory is dedicated to meeting the growing demand for innovative TOF camera solutions, positioning us as a leading supplier in the industry
  • SENSOR 1/4.5 GTO F0503
  • F/NO 1.2
  • EFL 1.93
  • FOV 109.6

3D Face Recognition

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.

Secure Biometric Payment

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.

AR/VR & 3D Modeling

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.

Frequently Asked Questions

How does a TOF lens improve face recognition security?

By capturing accurate 3D face model information and analyzing the depth and spatial relationship of facial features, it enables a much more secure and reliable face recognition unlocking process compared to traditional methods.

Can TOF lenses be used for secure mobile payments?

Yes. TOF lenses accurately obtain stereoscopic 3D biometric data from faces and hands. This data is utilized in payment and security authentication scenarios to significantly enhance transaction safety.

Why are 3D biometrics safer than traditional 2D photos or fingerprints?

Unlike flat 2D images or standard fingerprints, the 3D biometric data captured by TOF lenses represents depth and spatial volume, making them extremely difficult to copy, spoof, or forge.

How does TOF technology benefit AR/VR applications?

A TOF lens captures precise 3D data of a user's gestures and movements. This depth information is used to power highly natural and immersive human-computer interactions in AR/VR environments.

Can I use my mobile phone for 3D modeling with a TOF lens?

Yes, the high-precision 3D depth information captured by the TOF lens can be directly used for 3D modeling and spatial measurement functions during mobile phone shooting.

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