Automatic wheel hub appearance sorting device, sorting method and sorting system based on machine vision

Abstract

The invention relates to an automatic wheel hub appearance sorting device based on machine vision. The automatic wheel hub appearance sorting device comprises a detection body. The detection body comprises a positioning assembly, at least three light source camera assemblies and a detection frame, wherein the positioning assembly is used for fixing a wheel hub through a clamping device and driving the wheel hub to make Z-axis movement and rotary movement; the light source camera assemblies are correspondingly arranged on the upper portion, the lower portion and the side edge of the fixed wheel hub; and the detection frame is used for fixing the positioning assembly and the light source camera assemblies through connecting devices, and the light source camera assemblies are connected with an upper computer through network interfaces. Through the automatic wheel hub appearance sorting device, the functions of wheel hub type recognition, fixed centering and automatic appearance detection are achieved, and the automatic wheel hub appearance sorting device has the advantage of being high in detection efficiency and accuracy rate.

Description

technical field [0001] The invention relates to wheel appearance detection technology, in particular to a machine vision-based automatic wheel appearance sorting device, sorting method and sorting system. Background technique [0002] During the manufacturing process of wheel hubs, ensuring driving safety is the primary technical issue. For the quality inspection of light alloy wheels, X-rays are generally used for real-time inspection of the different cross-sectional casting structures and complex geometric shapes of the wheels. The existing technology is to inspect the X-ray wheel images displayed on the monitor screen through human eyes. The identification of defects and the judgment of whether the quality of the wheel hub is qualified or not at the same time have the disadvantages of low efficiency and poor accuracy. On the other hand, image understanding technology is applied to the internal defect recognition technology of casting products. Since the various casting s...

AI Technical Summary

Problems solved by technology

However, in the existing image wheel defect detection system, it is impossible to automatically judge the shooting position of the wheel through the computer, the shooting surface of the wheel is incomplete, the shooting takes a long time, and the unreasonable light source setting causes the external light source to interfere with the imaging and affect the imaging; and in the detection At this time, the operator can only make subjective visual judgments based on the actual image, and manually adjust the shooting position of the wheel hub, so that the human eye can clearly detect whether there are defects in the key parts of the wheel hub. The entire operation process takes a long time, is inefficient, and has low accuracy; However, the existing image wheel defect detection system cannot adapt to different models, different sizes of wheels and graphics with different contours

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