Visual function detection method based on service robot

Abstract

The invention relates to a visual function detection method based on a service robot, and the method comprises the following steps: image collection: employing a CCD industrial camera to shoot target static images and continuous multi-frame videos in indoor and outdoor scenes, and transmitting the images and videos to a visual processor; an image preprocessing step: the visual processor module sends an instruction to receive an image and a video collected by the CCD industrial camera and stores the image and the video in an image database, and calls the image preprocessing module to process the received image, so that the original image and the original video generate proportion deformation or noise is increased; the simulation module is used for simulating image deformation and weather influence in a real scene to generate a simulation image; and an image identification step: the visual processor module sends an instruction to call the image truth value labeling module to compare and process the analog image to identify a target static image or video, and when the identification rate reaches a preset threshold value, whether the visual detection function of the service robot is qualified is judged.

Description

Technical field [0001] The present invention belongs to the field of visual detection, and specifically, a method of detecting a robot visual function. Background technique [0002] The present invention is for the original intent for the design of the robot visual function. It is because the current robot can replace humans engage in the various dangers of dangers, heavy and boring work, in areas where people are not suitable for human survival, such as natural disasters and nuclear leaks, polar and Alien detection, military operations include automation of industrial manufacturing and logistics, motor vehicle intelligence, housekeeping workers, etc. have extensive economic value and application prospects, and the world's economic and industrial powers are actively developing a variety of applications including Classification and forecasting robots. In the field of robotics, the perception technology is a quite important ring. Many researchers have put a lot of effort in this ar...

AI Technical Summary

Problems solved by technology

In the field of robotics, perception technology is a very important part. Many researchers have devoted a lot of energy to research in this field, and many methods and technologies of perception theory have been produced. However, how to measure these methods It is difficult for researchers to reach a consensus on the pros and cons of technologies and technologies, and often they can only conduct experiments with limited information under certain specified conditions set by themselves, so as to prove that they are better than others' technologies and solutions

This evaluation method generally has obvious limitations, and the perception capabilities of different robots cannot be compared uniformly according to a certain same standard. As a result, when users need to choose different robots, they cannot use an intuitive and unified standard to compare Comparing all kinds of different robots, it is impossible to choose the product you really need

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