Real-time Detection and Measurement of Concrete Surface Crack Based on Improved CNN Method
Aiming at the problem of fast detection,identification and numerical extraction of surface cracks,an improved lightweight algorithm ConvCrackDet based on YOLOx target detection frame-work was proposed.The numerical extraction method was integrated to realize rapid detection and cal-culate the specific information of cracks.The results show that among the 980 data sets integrated by four data sets,the results of AP50=90.9,parameter quantity=7.06 and reasoning speed=3.23ms are obtained,which verifies the advantages of this method in improving accuracy,reducing complexity and reasoning time,and accurately obtains numerical information such as fracture length and width.
deep learningcomputer visionconcrete surface crackcrack detectionobject detection
万方数据
维普
