Foreign matter detection method for generator stator core steel sheet stacking platform

Abstract

The invention relates to the technical field of image detection, in particular to a foreign matter detection method for a generator stator core steel sheet stacking platform, which specifically comprises the following steps: S1, arranging a plurality of high-definition cameras on the stacking platform, collecting a foreground image and a background image, and transmitting the foreground image andthe background image to a computer terminal; S2, the computer terminal reading the foreground image and the background image to draw the area range of the image mask; S3, performing feature detectionon the foreground image and the background image respectively to obtain a projection mapping matrix, and performing perspective transformation on the image mask and the mapping matrix to realize imageregistration; S4, calculating the contour of the registered image, and performing local illumination normalization processing on the foreground image; and S5, carrying out inter-frame difference processing on the foreground image, removing an image contour, and carrying out threshold processing, Gaussian blur and open operation processing on the image at the same time. The technical scheme has the beneficial effects that the detection accuracy is improved, and the cost input is reduced.

Description

technical field [0001] The invention relates to the technical field of image detection, in particular to a method for detecting foreign objects on a generator stator core steel sheet stacking platform. Background technique [0002] Generator stator core stacking is automatically completed by industrial robots, but during the long-term automatic stacking process, due to the complex structure of the robot's claws and many spare parts, it is easy to loosen and drop the parts of the claws, causing the generator There is a quality problem in the stator core. At present, the relevant operators indirectly analyze whether there is any foreign matter falling during the processing of the stator core by manually checking all the accessories of the gripper. [0003] Due to the many types of accessories involved in the gripper of industrial robots, the quantity is large, the size is small, and the automatic stacking has high real-time performance, it is difficult to realize the traditio...

AI Technical Summary

Problems solved by technology

[0005] 1. Large investment in labor costs: regular checks by checkers are required to record data in detail;

[0006] 2. Strong dependence on personnel, high risk of missed detection and false detection: due to the many types, large quantities, and small sizes of the accessories involved, it is difficult to manually check all the accessories, and problems such as missed detection and false detection are prone to occur;

[0007] 3. Processing lag: The automatic stacking system has high requirements for real-time detection of foreign objects, and manual data collection has a certain lag, which cannot achieve the best effect of foreign object detection;

[0008] 4. The cost of rework is high: during the inspection process, if the parts are found to be slipping, the stator laminations need to be removed, and the dropped parts are found, which seriously affects the production plan of the stator laminations

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