Welding spot detecting and positioning method based on machine vision

Abstract

The invention discloses a welding spot detecting and positioning method based on machine vision. The method comprises the following steps that 1, welding spot coarse positioning based on priori knowledge is adopted, an optimal welding path is planned, and a running direction is provided for a visual system and a mechanical arm; 2, welding spot fine positioning based on machine vision is carried out, the type of a welding spot is judged, a mechanical arm is accurately guided to find the position of the welding spot, and automatic welding is carried out in a targeted mode; and 3, welding spot defect detection based on online deep reinforcement learning is adopted, welding spot defects are automatically detected, the type is judged, and basis and guidance are provided for secondary repair welding of the same station. The welding path is automatically planned, and the welding path of the camera and the mechanical arm is optimized by adopting a path planning algorithm, so that the production efficiency is improved; a deep neural network fused with multi-layer features is used, so that detection of a small target scene with numerous welding spots is facilitated; and online deep reinforcement learning improves the learning efficiency of mass data, so that the learning complexity is reduced.

Description

technical field [0001] The invention relates to the field of machine vision, in particular to a welding point detection and positioning algorithm based on machine vision. Background technique [0002] The electronics manufacturing industry continues to grow and becomes one of the most important strategic industries in the world today. In the information age, electronic products are not only used in small calculators, mobile phones, and notebook computers, but also in large-scale industrial equipment, automobiles, military weapon systems and aviation equipment. Electronic manufacturing has become an important symbol to measure a country's economic development, scientific and technological progress and comprehensive national strength. In recent years, my country's electronic information manufacturing industry has grown at an annual rate of more than 20% and has become a pillar industry of the national economy. [0003] Surface Mount Technology (SMT), as the basic technology ...

AI Technical Summary

Problems solved by technology

Existing welding quality inspection equipment is usually separated from the welding robot arm process and requires manual assistance

This method of judging welding defects through manual visual inspection cannot meet the needs of highly automated, self-learning, and self-evolving intelligent welding production lines

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