{"title":"基于位置系统的人脸识别相似度指数对提高菲律宾社区安全意识的作用","authors":"Gima S. Batinggal, Jasmin D. Niguidula","doi":"10.1145/3205946.3205952","DOIUrl":null,"url":null,"abstract":"Face Recognition System (FRS) can be used to match pictures for a specific purpose like matching reports of found person vis-à-vis with missing persons. In the Philippines, despite the large number of missing person every year, the Philippine National Police (PNP) do not have a central database for it. Hence, police from other precincts may not be aware about reports of missing person from one precinct unless informed by the precinct holding the case. For these reasons, this study hopes to develop a Face Recognition System with Location-Based System (LBS) using Luxand FaceSDK for fast identification and locating whereabouts of missing person. The study will test the (1) false acceptance rate(FAR) and false rejection rate(FRR) of the system at varying distances with varying angles, (2) face recognition speed, (3) accuracy of the system in detecting the location of the missing person, and (4) notification via SMS capability of the system.","PeriodicalId":194663,"journal":{"name":"Proceedings of the 4th International Conference on Human-Computer Interaction and User Experience in Indonesia, CHIuXiD '18","volume":"30 4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Face Recognition Similarity Index with Location-Based System Towards Improvement of Community Safety Awareness in the Philippines\",\"authors\":\"Gima S. Batinggal, Jasmin D. Niguidula\",\"doi\":\"10.1145/3205946.3205952\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Face Recognition System (FRS) can be used to match pictures for a specific purpose like matching reports of found person vis-à-vis with missing persons. In the Philippines, despite the large number of missing person every year, the Philippine National Police (PNP) do not have a central database for it. Hence, police from other precincts may not be aware about reports of missing person from one precinct unless informed by the precinct holding the case. For these reasons, this study hopes to develop a Face Recognition System with Location-Based System (LBS) using Luxand FaceSDK for fast identification and locating whereabouts of missing person. The study will test the (1) false acceptance rate(FAR) and false rejection rate(FRR) of the system at varying distances with varying angles, (2) face recognition speed, (3) accuracy of the system in detecting the location of the missing person, and (4) notification via SMS capability of the system.\",\"PeriodicalId\":194663,\"journal\":{\"name\":\"Proceedings of the 4th International Conference on Human-Computer Interaction and User Experience in Indonesia, CHIuXiD '18\",\"volume\":\"30 4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-03-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 4th International Conference on Human-Computer Interaction and User Experience in Indonesia, CHIuXiD '18\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3205946.3205952\",\"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 4th International Conference on Human-Computer Interaction and User Experience in Indonesia, CHIuXiD '18","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3205946.3205952","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Face Recognition Similarity Index with Location-Based System Towards Improvement of Community Safety Awareness in the Philippines
Face Recognition System (FRS) can be used to match pictures for a specific purpose like matching reports of found person vis-à-vis with missing persons. In the Philippines, despite the large number of missing person every year, the Philippine National Police (PNP) do not have a central database for it. Hence, police from other precincts may not be aware about reports of missing person from one precinct unless informed by the precinct holding the case. For these reasons, this study hopes to develop a Face Recognition System with Location-Based System (LBS) using Luxand FaceSDK for fast identification and locating whereabouts of missing person. The study will test the (1) false acceptance rate(FAR) and false rejection rate(FRR) of the system at varying distances with varying angles, (2) face recognition speed, (3) accuracy of the system in detecting the location of the missing person, and (4) notification via SMS capability of the system.
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