Image Processing and Image Expansion Method for Relay Measurement

Abstract

The invention discloses an image processing and image expansion method for relay measurement. The specific processing steps are as follows: an adjustment device step, an identification area division step, an upper contact extraction step, an image binarization processing step, an image statistics step, an edge positioning and scaling step, Steps of image expansion, step of obtaining the minimum value of the upper contact gap, step of judging that the upper contact is qualified, step of extracting the lower contact, step of binarizing the area of ​​the lower contact, step of obtaining the average width of the lower contact, and judging that the lower contact is qualified 1. The step of judging whether the relay is qualified; the invention proposes an image processing and image expansion method for relay measurement with fast product detection speed, large amount of processing information, and high product detection accuracy.

Description

technical field [0001] The invention relates to the field of image processing, in particular to an image processing and image expansion method for relay measurement. Background technique [0002] Relay is an automatic circuit control device that is widely used in daily household appliances, industrial control circuits, mechatronics, remote control and telemetry, and aerospace equipment. It has functions such as circuit adjustment, circuit protection, and circuit conversion. The production of relays is a complex process involving more than a dozen processes. The processing and assembly quality of each process will directly affect the quality of the final product. The assembly of relay contacts is a difficult point in the production process of relays, and the assembly quality of contacts is also the main factor causing relay failures. Therefore, it is necessary to strictly test the assembly quality of contacts during the production process. [0003] The traditional manual det...

AI Technical Summary

Problems solved by technology

[0003] The traditional manual detection method has a slow detection speed and is only suitable for random inspection, which cannot meet the detection requirements of automated assembly line production, and the detection repeatability is poor, and the detection quality cannot be guaranteed

[0004] As a fast, non-destructive and non-contact measurement technology, visual measurement technology has fast speed and can handle a large amount of information. However, the existing visual measurement system has a large error rate in detecting and judging products, and it is difficult to judge the trend of product qualification rate. , when the amount of information is too large, it is difficult to calculate and monitor. What kind of problem will cause the product to be qualified, and the information processing speed will be increased. The quality inspection time of each product cannot exceed 1s, so it is difficult to form an effective and reasonable inference. Once a problem occurs, it is completely dependent on skilled worker

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