现代信息科技2024，Vol.8Issue(22)：156-159,164,5.DOI:10.19850/j.cnki.2096-4706.2024.22.031
精密元器件工业生产自动化检测的算法研究
Research on Algorithm for Automatic Detection of Precision Components in Industrial Production
陈思怡 1陈尧 1陈裔月 1蒋柔 1陈芸 1张俊坤1
作者信息
摘要
Abstract
In the production process of precision components,product defect detection is a crucial step,and defect detection is also a key research content in the field of computer vision.This algorithm research uses Python as the programming language to preprocess the image data and enhance the data,then uses YOLO(You Only Look Once:Unified,Real-Time Object Detection)and Faster R-CNN(Towards Real-Time Object Detection with Region Proposal Networks)models to train image data.At the same time,it builds a lightweight feature extraction network with high performance to achieve rapid feature extraction of electronic components.关键词
深度学习/缺陷检测/YOLO/Faster R-CNNKey words
Deep Learning/defect detection/YOLO/Faster R-CNN分类
信息技术与安全科学引用本文复制引用
陈思怡,陈尧,陈裔月,蒋柔,陈芸,张俊坤..精密元器件工业生产自动化检测的算法研究[J].现代信息科技,2024,8(22):156-159,164,5.
