| 基于嵌入式视觉的在线检测系统的研究 |
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| 引用本文： | 江达飞.基于嵌入式视觉的在线检测系统的研究[J].电子测试,2020(7):77-78,88. |
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| 作者姓名： | 江达飞 |
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| 作者单位： | 衢州职业技术学院信息工程学院 |
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| 基金项目： | 2018年衢州市指导性项目(2018010). |
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| 摘 要： | 针对中小型企业生产过程中存在零件缺陷检测自动化程度低而现有视觉识别系统成本高的问题,研究设计了一种基于嵌入式视觉识别技术及stm32单片机的低成本在线零件缺陷检测系统,该系统集成了图像识别算法与自动控制逻辑,能够通过识别出零件的尺寸,判断出零件是否存在缺陷,再通过自动控制系统,实现零件优劣的分拣。
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| 关 键 词： | stm32MCU 在线检测 分拣系统 |
Research on Online Detection System Based on Embedded Vision |
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| Jiang Dafei.Research on Online Detection System Based on Embedded Vision[J].Electronic Test,2020(7):77-78,88. |
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| Authors: | Jiang Dafei |
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| Institution: | (Collegeof Information Engineering,Quzhou Co11ege of Technology,Quzhou Zhejiang,324000) |
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| Abstract: | Aiming at the problems of low automation of part defect detection and high cost of existing visual recognition systems in the production process of small and medium-sized enterprises,a low-cost online part defect detection system based on embedded visual recognition technology and stm32 MCU was designed.Integrated image recognition algorithm and automatic control system,the device can identify the size of the part,determine whether the part is defective,and then sort the unqualified products. |
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| Keywords: | stm32MCU online recognition sorting system |
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