Polarized light module and depth recognition device

Abstract

The invention provides a polarized light module and a depth recognition device. The polarized light module comprises an emitter and a receiver; the emitter is used for emitting linearly polarized light in a first wavelength range; the receiver comprises an image sensor, a lens structure and a light filtering structure; the lens structure and the light filtering structure are arranged in front of the image sensor; light reaches the image sensor after passing through the lens structure and the light filtering structure; the light filtering structure is used for filtering ambient light, except linearly polarized light, in the light; the image sensor receives the light filtered by the light filtering structure, and the unfiltered light comprises the linearly polarized light and the ambient light. Therefore, the light received by the image sensor is less interfered by the ambient light, and the receiving effect of the receiver can be improved under the condition that the power is not improved, so that the imaging quality of an image is ensured, and the depth recognition is facilitated. Moreover, the light filtering structure can filter light in other directions in the ambient light, sothat the influence of the ambient light (namely noise) on the receiver is further reduced.

Description

technical field [0001] The present application relates to the field of optical technology, in particular, to a polarized light module and a depth recognition device. Background technique [0002] With the advancement of science and technology, deep recognition technology is more and more widely used, such as mobile phone unlocking, face payment, security gates, security monitoring, human-computer interaction, gesture recognition, etc. However, the depth recognition technology is limited by the power of the device (due to the existence of problems such as heat dissipation and human eye protection, the power of the transmitter cannot be increased without limit), therefore, the depth recognition technology is relatively limited in application distance, and is usually applied to shorter distance scenarios (mobile phone unlocking, face payment, security gates, security monitoring, etc.). [0003] Moreover, the application of depth recognition technology will be more or less dist...

AI Technical Summary

Problems solved by technology

[0004] Due to the above reasons, the existing deep recognition technology has great limitations in application distance and recognition quality

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