Large-scale sprocket tooth-form automatic measurement device based on machine vision

Abstract

The present invention discloses a large-scale sprocket tooth-form automatic measurement device based on a machine vision. The device provided by the invention comprises a loading bin, a conveying robot system, a vision detection system and a blanking bin. The loading bin is configured to locate sprocket parts prior to measurement; the conveying robot system is configured to complete the loading, the displacement and the blanking of the sprocket parts; the vision detection system is configured to collect the quality information of the sprocket parts one by one through adoption of the machine vision technology; the blanking bin is configured to dispose sprocket parts which have been measured. According to the invention, the automatic collection measurement of the large-scale sprocket part tooth-form data is realized, so that the difficulty of the sprocket part tooth-form measurement is effectively reduced, the whole detection process is not influenced by human factors, and the accuracy of the detection quality of products is effectively ensured. The quality information collected by machine vision may be stored in a computer to provide an effective feedback to the link of the part manufacture, and the preparation may be further performed for the statistics process control and the digital manufacture.

Description

technical field [0001] The invention relates to a tooth shape measuring device, in particular to a machine vision-based automatic measuring device for the tooth shape of a large sprocket. Background technique [0002] Visual inspection is an effective means of extracting target image signals through machine vision equipment instead of human eyes or measuring tools for measurement and judgment. It is one of the important quality assurance means in the product manufacturing process. At present, machine vision has been widely used in various automatic processing equipment. It can realize the measurement of part size and position, inspection of product appearance and defects, text recognition, two-dimensional code, bar code recognition, etc. [0003] However, at present, the size measurement of machine vision is widely used in small and medium-sized parts, while large parts are basically measured manually, and automation and digitization have not been realized. The reason is m...

AI Technical Summary

Problems solved by technology

At present, the general detection method is that workers measure the contour of each tooth in turn with a gauge, which is difficult for workers to detect and has a large workload.

[0004] It can be seen that the current large-scale sprocket tooth shape measurement process has the following defects: 1) The degree of automation is low, and it basically relies on manual measurement. The parts are large in size and heavy in weight, making it difficult for workers to measure and work intensively; The quality information cannot be archived, and statistical process control and digital processing cannot be realized; 3) The size of the parts is large, and it is difficult for machine vision to take into account the measurement accuracy and field of view

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