Target recognition method and system for intelligent transfer robot

Abstract

The invention discloses an intelligent transfer robot target recognition method and system. The method comprises the steps: obtaining a multi-angle image sequence of a to-be-recognized region collected by a robot at different positions, carrying out the preprocessing of the image sequence, and converting the image sequence into an LAB color space; respectively extracting target images corresponding to the same target in the image sequence; performing feature fusion and splicing on the target images corresponding to the same target in the image sequence to obtain a fused target image; calculating a brightness adjustment coefficient of each fused target image based on the LAB value of each fused target image, and performing brightness correction on each target image; and judging a color interval to which the LAB value of the corrected target image belongs, and recognizing a color corresponding to the target. According to the method, the to-be-recognized target is processed through image fusion and brightness correction. Maximum color distinguishing between different targets is realized on the basis of keeping original color features of the target, and the adaptability to illumination change and the accuracy of target recognition are improved.

Description

Technical field [0001] The present invention belongs to the field of machine visual technology, and specifically involves a smart handling robot target recognition method and system. Background technique [0002] At present, mobile robots have many applications in industrial automation, such as the sorting, handling, factory pipeline processing of goods in warehousing logistics systems, greatly reduced human labor costs. Mobile robots are typically designed to remotely control or automatically control, and machine-visual mobile robots control has become an important direction for robots related industries. [0003] When identifying the target color, the external environment conditions such as light, background, etc. may change, even in different angles, the same target of the same target will be different, and the target The color and brightness have an impact, especially for the glossy surface, which can affect the accuracy and target positioning accuracy of the robot to target ...

AI Technical Summary

Problems solved by technology

[0004] In view of this, the present invention proposes a target recognition method and system for an intelligent handling robot, which is used to solve the problem that the color recognition error of the robot to the target is too large under unstable lighting conditions

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