{"title":"基于蚁群算法和软件工程的机器视觉平台应用研究","authors":"Xing Song, Yanqing Yang, S. Fan","doi":"10.1109/CONIT59222.2023.10205742","DOIUrl":null,"url":null,"abstract":"The research on the application of machine vision platform based on ant colony algorithm and software engineering is aimed at the application of machine vision platform based on ant colony algorithm and software engineering. The main purpose of this study is to identify applications that can be developed using our proposed system. In order to better understand, we conducted a survey of colleagues from different universities and institutes to understand their feedback on this topic. We have collected information from them about their views on this project. It includes the following steps: 1. Design the system architecture and analyze its performance; 2. Develop necessary algorithms to achieve the expected results; 3. Implement the developed algorithm into the actual system with real-time requirements; 4. Analyze and test the implementation results of the algorithm in the actual system; 5. Improve or modify the existing algorithm to improve its performance and achieve the efficiency of the expected results; 6. Test new versions of existing or newly developed algorithms to improve their performance or efficiency.","PeriodicalId":377623,"journal":{"name":"2023 3rd International Conference on Intelligent Technologies (CONIT)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application Research of Machine Vision Platform Based on Ant Colony Algorithm and Software Engineering\",\"authors\":\"Xing Song, Yanqing Yang, S. Fan\",\"doi\":\"10.1109/CONIT59222.2023.10205742\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The research on the application of machine vision platform based on ant colony algorithm and software engineering is aimed at the application of machine vision platform based on ant colony algorithm and software engineering. The main purpose of this study is to identify applications that can be developed using our proposed system. In order to better understand, we conducted a survey of colleagues from different universities and institutes to understand their feedback on this topic. We have collected information from them about their views on this project. It includes the following steps: 1. Design the system architecture and analyze its performance; 2. Develop necessary algorithms to achieve the expected results; 3. Implement the developed algorithm into the actual system with real-time requirements; 4. Analyze and test the implementation results of the algorithm in the actual system; 5. Improve or modify the existing algorithm to improve its performance and achieve the efficiency of the expected results; 6. Test new versions of existing or newly developed algorithms to improve their performance or efficiency.\",\"PeriodicalId\":377623,\"journal\":{\"name\":\"2023 3rd International Conference on Intelligent Technologies (CONIT)\",\"volume\":\"53 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 3rd International Conference on Intelligent Technologies (CONIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CONIT59222.2023.10205742\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 3rd International Conference on Intelligent Technologies (CONIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CONIT59222.2023.10205742","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application Research of Machine Vision Platform Based on Ant Colony Algorithm and Software Engineering
The research on the application of machine vision platform based on ant colony algorithm and software engineering is aimed at the application of machine vision platform based on ant colony algorithm and software engineering. The main purpose of this study is to identify applications that can be developed using our proposed system. In order to better understand, we conducted a survey of colleagues from different universities and institutes to understand their feedback on this topic. We have collected information from them about their views on this project. It includes the following steps: 1. Design the system architecture and analyze its performance; 2. Develop necessary algorithms to achieve the expected results; 3. Implement the developed algorithm into the actual system with real-time requirements; 4. Analyze and test the implementation results of the algorithm in the actual system; 5. Improve or modify the existing algorithm to improve its performance and achieve the efficiency of the expected results; 6. Test new versions of existing or newly developed algorithms to improve their performance or efficiency.