TOF sensor and forming method thereof and machine vision system

Abstract

The invention relates to a TOF sensor and a forming method thereof and a machine vision system; the TOF sensor comprises a pixel array and a light emitting module, wherein the pixel array at least comprises more than two sensing areas with different sensing precision; the higher the sensing precision is, the stronger the sensing signal output by the sensing area is; the detection light emitted bythe light emitting module has at least two light distribution areas with different light intensities, and the detection light of each light intensity distribution area can be received by the corresponding sensing areas with different sensing precision in the pixel array after being reflected; and the light distribution area with larger light intensity is corresponding to the sensing area with higher sensing precision. According to the TOF sensor, the cost can be lowered on the premise that the detection precision requirement is met.

Description

technical field [0001] The invention relates to the field of sensing technology, in particular to a TOF sensor, a forming method thereof, and a machine vision system. Background technique [0002] Machine vision is a rapidly developing branch of artificial intelligence. Simply put, machine vision is the use of machines instead of human eyes for measurement and judgment. The machine vision system converts the captured target into an image signal through the sensor, transmits it to a dedicated image processing system, obtains the shape information of the captured target, and converts it into a digital signal according to the pixel distribution, brightness, color and other information; the image system processes these signals Perform various calculations to extract the characteristics of the target, and then control the on-site equipment actions according to the results of the discrimination. For example, sweeping robots, automatic driving, map modeling, etc., all need to rea...

AI Technical Summary

Problems solved by technology

However, in the prior art, the commonly used sensors are designed with the highest precision requirements in the robot’s visual range, and the detection accuracy in the entire visual range meets the highest precision requirements. Although the visual accuracy requirements can be achieved, the cost is relatively high.

Or, in the later stage, it is necessary to perform algorithm correction on the local area to improve the accuracy, which is difficult to achieve

Images