Method for detecting quality of shuttlecock head by using Transform deep learning model

The invention discloses a method for detecting the quality of a shuttlecock head by using a Transform deep learning model, belongs to the technical field of shuttlecock quality detection, and aims to solve the problems of low efficiency, unstable quality and poor consistency of quality evaluation in the production of the shuttlecock head in China at present. According to the method provided by the invention, through integrated application of three key automatic identification technologies of quality grading detection of the cork wafer, ball head roundness detection and leather defect detection, comprehensive detection of the whole ball head is realized, the accuracy of ball head quality evaluation is ensured, and the detection efficiency is improved. The method is mainly used for detecting the quality of the shuttlecock head. 一种利用Transformer深度学习模型检测羽毛球球头质量的方法，属于羽毛球质量检测技术领域，本发明为了解决当前我国羽毛球球头生产中的质量评估存在效率低下、品质不稳定、一致性差的问题，本申请所述方法通过利用对软木圆片的质量分级检测、对球头圆润度检测和对皮革缺陷检测三个关键的自动化识别技术的整合运用，实现了对球头的整体进行全面检测，保证了球头质量评估的准确性，本申请主要