{"title":"基于神经网络的贴片放置视觉反馈","authors":"G. Burel, F. Bernard, W. J. Venema","doi":"10.1109/ROBOT.1995.525486","DOIUrl":null,"url":null,"abstract":"The paper describes an approach to include vision control and neural networks in the assembly process of surface mounted devices (SMD). The need of vision feedback is due to the decreasing size of SMD. The proposed approach includes image processing, estimation of positioning error by a neural network, and geometrical computations. The hardware implementation to achieve real time constraints is also described.","PeriodicalId":432931,"journal":{"name":"Proceedings of 1995 IEEE International Conference on Robotics and Automation","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":"{\"title\":\"Vision feedback for SMD placement using neural networks\",\"authors\":\"G. Burel, F. Bernard, W. J. Venema\",\"doi\":\"10.1109/ROBOT.1995.525486\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper describes an approach to include vision control and neural networks in the assembly process of surface mounted devices (SMD). The need of vision feedback is due to the decreasing size of SMD. The proposed approach includes image processing, estimation of positioning error by a neural network, and geometrical computations. The hardware implementation to achieve real time constraints is also described.\",\"PeriodicalId\":432931,\"journal\":{\"name\":\"Proceedings of 1995 IEEE International Conference on Robotics and Automation\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-05-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"18\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 1995 IEEE International Conference on Robotics and Automation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ROBOT.1995.525486\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 1995 IEEE International Conference on Robotics and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ROBOT.1995.525486","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Vision feedback for SMD placement using neural networks
The paper describes an approach to include vision control and neural networks in the assembly process of surface mounted devices (SMD). The need of vision feedback is due to the decreasing size of SMD. The proposed approach includes image processing, estimation of positioning error by a neural network, and geometrical computations. The hardware implementation to achieve real time constraints is also described.
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