A machine vision-based online measurement system and method for spring dimensions

Abstract

The invention discloses a machine-vision-based spring size online measurement system and a method thereof. According to the method, an industrial camera acquires the image of a spring, and then sends the image of the spring to a main controller. The main controller corrects the distortion of the received image of the spring and subtracts the background of the image of the spring. The processed image is subjected to threshold segmentation, and then a binary image of the spring within an initial target region is obtained. The binary image of the spring within the initial target region is processed by circularly structured elements to obtain a spring region containing the internal and external edges of the spring, wherein the spring region is adopted as an interested to-be-processed region. The internal and external edges of the spring within the interested to-be-processed region are detected, and then the internal and external diameters and the polishing angle of the spring can be calculated. The obtained internal and external diameters and the polishing angle of the spring are compared with the preset size ranges of the internal and external diameters and the preset size range of the polishing angle. If the internal and external diameters and the polishing angle of the spring are within the above preset size ranges respectively, the spring is judged to be qualified. Otherwise, the spring is rejected by a rejecting mechanism under the control of the main controller.

Description

technical field [0001] The invention belongs to the field of machine vision measurement, and in particular relates to a machine vision-based online spring size measurement system and a method thereof. Background technique [0002] The appearance parameters of the spring are one of the important indicators to measure the quality of the spring, mainly including: outer diameter, inner diameter, more than three-quarters of the spring surface polished, spring height, number of turns and wire diameter, etc. At present, compared with advanced industrialized countries, the overall technical level of my country's spring industry is relatively backward, and the measurement system at home and abroad is not perfect, and there are many problems and defects, especially for some small and medium-sized spring enterprises, the existing spring parameter measurement is basically It is a method of manual sampling inspection and manual measurement. This method is not only time-consuming and labor...

AI Technical Summary

Problems solved by technology

At present, compared with advanced industrialized countries, the overall technical level of my country's spring industry is relatively backward, and the measurement system at home and abroad is not perfect, and there are many problems and defects, especially for some small and medium-sized spring enterprises, the existing spring parameter measurement is basically It is a method of manual sampling inspection and manual measurement. This method is not only time-consuming and labor-intensive, but also has low measurement accuracy and is greatly affected by personnel factors. At the same time, the factory springs cannot fully meet the accuracy requirements, resulting in a lot of waste and economic losses. Moreover, there is still a big gap between domestic enterprises and the international advanced level in terms of design and development, spring quality, scrap rate, process control, etc.

In terms of testing equipment, automatic online detection methods, visualization of test result data, automatic mathematical statistics, automatic feedback adjustment functions, automatic pressure sorting and other control methods have been widely used abroad; the size of the spring, such as height, outer diameter, etc. , number of turns, load and flaw detection, the angle of the spring surface grinding surface, that is, the spring surface grinding angle, etc., implement automatic detection of all products, but foreign automatic spring quality detection systems require relatively large investment for small spring manufacturers.

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