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基于图像识别技术的电动工具视觉检测系统应用

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介绍了一种基于图像识别技术的电动工具视觉检测系统.机器视觉传感器采集被测物体图像后,将原始数据送入图像识别检测模块,该模块由机器视觉算法和深度学习的图像处理技术组成,利用图像采集技术对可视化检测项目进行建模分析.实际应用表明,电动工具视觉检测系统的测量效果优于人工光学检测,避免了人为因素造成的检测误差.
Construction and Application Research of Visual Inspection System for Electric Tools Based on Image Recognition Technology
The visual inspection of electric tools in our country shows the characteristics of backward inspection equipment and low reliability.In this paper,a visual inspection system for electric tools based on image recognition technology is introduced.The system uses machine vision sensors to collect images of the object under test,the original data is sent to the image recognition and detection module,which is composed of machine vision image algorithm and depth learning related image technology,at the same time,the visual detection project is modeled and analyzed by using image acquisition technology,and the hardware and software of the detection and control system for electric tools are described emphatically,including the motor,image acquisition,and its related applications have been analyzed and studied.

electric toolsproduct qualityimage recognition,visual detection,power toolsdepth learningdetection

徐健康、朱正兵、杨德志、许莹、胡帅、胡卓星

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永康市质量技术监测研究院(国家五金工具及门类产品质量检验检测中心),浙江 永康 321300

杭州海康机器人股份有限公司,浙江 杭州 320018

北京中轻联认证中心有限公司,中国 北京 100028

电动工具 产品质量 图像识别 深度学习 检测

浙江省市场监督管理局青年项目

QN202344

2024

电动工具
上海电动工具研究所

电动工具

影响因子:0.116
ISSN:1674-2796
年,卷(期):2024.(1)
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