On-line vision detecting system for automatic impact specimen processing device and image processing method thereof

Abstract

The invention discloses an on-line vision detecting system applied to an automatic impact specimen processing device and an image processing method thereof. Taking vision technology and image processing technology as basis, by adopting image acquisition, display, processing and analysis technology, the on-line vision detecting system finishes impacting the specimen size of an on-line vision detecting system. The system can improve production flexibility and automation degree, is applicable to a large-batch production process, and can overcome the defects of low efficiency, low precision and incapability of real-time on-line measurement during manually detecting product quality. The image processing method comprises the following steps: firstly, acquiring a still image of the end face of a workpiece by using CCD photographing technology and an image acquisition card, transmitting image information to a computer, then processing the information comprehensively by an image processing software, calculating the actual size of the workpiece, transmitting the test result to a control software, acquiring instructions for further processing or stopping processing after determination processing, sending signals, and starting corresponding motion control programs and a servo actuating mechanism to finish subsequent normal automatic processing processes.

Description

technical field [0001] The invention is an important part of the automatic processing system for metal impact samples. It involves the professional fields of online detection and image processing. Background technique [0002] For the samples required for the Charpy impact test, the technical requirements of the main size, shape, surface quality and shape tolerance must be guaranteed. The impact sample automatic processing system mainly detects the size and shape of the impact sample after milling the V-shaped notch, including three parts: [0003] (1) Detect the V-shaped notch angle Φ, if the measurement result Φ>47° or Φ<43°, a tool change signal will be given; if the result meets the accuracy requirements, an angle qualified signal will be given. [0004] (2) Detect the radius R of the arc. If the measurement result meets the accuracy requirements, that is, R∈(0.225mm, 0.275mm), if it is not out of tolerance, then detect L 2 . If the measurement result is out of...

AI Technical Summary

Problems solved by technology

It can improve the flexibility and automation of production, and is suitable for mass production processes. It can solve the shortcomings of manual inspection of product quality, such as low efficiency, low accuracy, and inability to measure on-line in real time. Its application prospects are very broad.

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