Deep Learning Based Automatic Detection of Aircraft Assembly Hole Positions
In order to improve the accuracy of automatic detection of aircraft assembly holes,reduce the response time,and obtain better detection results,an automatic detection method of aircraft assembly holes based on deep learning is proposed.Based on the designed acquisition structure to complete the assembly hole position image acquisition,noise reduction processing of the image,based on the deep learning theory,complete the design of the target detection model,and finally based on the detection results,the application of the concept of circular equation to complete the calculation of the hole position centre coordinates.The experimental results show that the response times of the proposed methods are all less than 9.41 ms,and the effects are better than the comparison methods,with better application value.
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