{"title":"设计和建造四轴飞行器探测野象警报","authors":"Jiranuwat Piriyasupakij, Ratchada Prasitphan","doi":"10.1109/iSAI-NLP56921.2022.9960248","DOIUrl":null,"url":null,"abstract":"The encroachment of wild elephants in farming areas and villagers' habitats has caused conflicts among communities resulting to violence in preventing and driving elephants out of the area. The organizers have seen the impact of this problem and aims to solve it by designing and building a prototype Quadcopter that can survey and detect these wild elephants to warn villages and prevent further damage. The model takes crisp image of the detected wild elephants at a distance of 1M to 80% and alerts the forest technicians via the application. The test results showed that there were problems in the controls for it requires GPS signal. In the future, improvements and fixes in various parts shall be made to further develop innovative approaches that solve real-world problems.","PeriodicalId":399019,"journal":{"name":"2022 17th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Design and Construct Quadcopter to Detect Wild Elephant to Alert\",\"authors\":\"Jiranuwat Piriyasupakij, Ratchada Prasitphan\",\"doi\":\"10.1109/iSAI-NLP56921.2022.9960248\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The encroachment of wild elephants in farming areas and villagers' habitats has caused conflicts among communities resulting to violence in preventing and driving elephants out of the area. The organizers have seen the impact of this problem and aims to solve it by designing and building a prototype Quadcopter that can survey and detect these wild elephants to warn villages and prevent further damage. The model takes crisp image of the detected wild elephants at a distance of 1M to 80% and alerts the forest technicians via the application. The test results showed that there were problems in the controls for it requires GPS signal. In the future, improvements and fixes in various parts shall be made to further develop innovative approaches that solve real-world problems.\",\"PeriodicalId\":399019,\"journal\":{\"name\":\"2022 17th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP)\",\"volume\":\"54 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 17th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/iSAI-NLP56921.2022.9960248\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 17th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iSAI-NLP56921.2022.9960248","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design and Construct Quadcopter to Detect Wild Elephant to Alert
The encroachment of wild elephants in farming areas and villagers' habitats has caused conflicts among communities resulting to violence in preventing and driving elephants out of the area. The organizers have seen the impact of this problem and aims to solve it by designing and building a prototype Quadcopter that can survey and detect these wild elephants to warn villages and prevent further damage. The model takes crisp image of the detected wild elephants at a distance of 1M to 80% and alerts the forest technicians via the application. The test results showed that there were problems in the controls for it requires GPS signal. In the future, improvements and fixes in various parts shall be made to further develop innovative approaches that solve real-world problems.