Yung-Cheng Yao, Xing-Rui Huang, Cheng-Yi Liu, Po-Wei Lin
{"title":"水产养殖智能控制系统","authors":"Yung-Cheng Yao, Xing-Rui Huang, Cheng-Yi Liu, Po-Wei Lin","doi":"10.1145/3440943.3444351","DOIUrl":null,"url":null,"abstract":"In traditional fish farms, all work requires a lot of human resources. Whether it is feeding fish, temperature monitoring, etc. These tasks require a lot of manpower. Due to lack of manpower or human negligence, the fish dies, and then cause economic losses to the owners of the fish farms. In this study, two computers are used for image processing. One is to run image processing to detect objects when an object intrudes in the fish farm and use the Arduino to control the pan/tilt motor to rotate the lens and laser to drive away the invading object. Another computer is used as a real-time image server, and the user can use the APP to receive real-time image of fish farm.","PeriodicalId":310247,"journal":{"name":"Proceedings of the 2020 ACM International Conference on Intelligent Computing and its Emerging Applications","volume":"100 ","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Intelligent Controlling System in Aquaculture\",\"authors\":\"Yung-Cheng Yao, Xing-Rui Huang, Cheng-Yi Liu, Po-Wei Lin\",\"doi\":\"10.1145/3440943.3444351\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In traditional fish farms, all work requires a lot of human resources. Whether it is feeding fish, temperature monitoring, etc. These tasks require a lot of manpower. Due to lack of manpower or human negligence, the fish dies, and then cause economic losses to the owners of the fish farms. In this study, two computers are used for image processing. One is to run image processing to detect objects when an object intrudes in the fish farm and use the Arduino to control the pan/tilt motor to rotate the lens and laser to drive away the invading object. Another computer is used as a real-time image server, and the user can use the APP to receive real-time image of fish farm.\",\"PeriodicalId\":310247,\"journal\":{\"name\":\"Proceedings of the 2020 ACM International Conference on Intelligent Computing and its Emerging Applications\",\"volume\":\"100 \",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2020 ACM International Conference on Intelligent Computing and its Emerging Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3440943.3444351\",\"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 the 2020 ACM International Conference on Intelligent Computing and its Emerging Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3440943.3444351","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In traditional fish farms, all work requires a lot of human resources. Whether it is feeding fish, temperature monitoring, etc. These tasks require a lot of manpower. Due to lack of manpower or human negligence, the fish dies, and then cause economic losses to the owners of the fish farms. In this study, two computers are used for image processing. One is to run image processing to detect objects when an object intrudes in the fish farm and use the Arduino to control the pan/tilt motor to rotate the lens and laser to drive away the invading object. Another computer is used as a real-time image server, and the user can use the APP to receive real-time image of fish farm.