基于深度学习的X射线鞋底异物检测系统

在服饰鞋厂的加工生产过程中经常会出现断针现象,残留在鞋子里的多余断针等金属异物会威胁人们的人身安全.针对这一问题,本文提出了一种基于深度学习的鞋底金属异物检测系统.首先,将鞋子依次放在传送带上送入检针机,经过X光照射采集图像.之后对采集到的图像进行预处理操作,使金属异物变得清晰.最后通过深度学习网络模型识别当前图像是否...

X-Ray Detection System for Foreign Bodies in Sole of Shoes Based on Deep Learning

Broken needles are frequently seen in the production process of clothing and shoe factories. This study proposes a detection system of metal foreign bodies in sole of shoes based on deep learning since those residual bodies such as broken needles in shoes will threaten people’s safety. Firstly, shoes are put on a conveyor belt in turn and sent to a needle detector, and the images are collected by X-ray irradiation. After that, the images are preprocessed to highlight the small metal foreign bodies. Finally, metal foreign bodies and their positions are detected with a deep learning network model. Experimental results show that preprocessing images and fine-tuning the label box can make metal foreign bodies clearer, and the average precision of the model is 97.6%. It proves that the model can effectively detect the metal foreign bodies with different shapes left in footwear, presenting great commercial potential.