Face Recognition Similarity Index with Location-Based System Towards Improvement of Community Safety Awareness in the Philippines

Gima S. Batinggal, Jasmin D. Niguidula
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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.
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
人脸识别系统(FRS)可用于匹配特定目的的图片,例如将找到的人访问-à-vis的报告与失踪人员进行匹配。在菲律宾,尽管每年都有大量失踪人员,但菲律宾国家警察(PNP)没有一个中央数据库。因此,其他地区的警察可能不知道一个地区的失踪人口报告,除非由负责此案的地区通知。基于这些原因,本研究希望利用Luxand FaceSDK开发一种基于位置系统(LBS)的人脸识别系统,用于快速识别和定位失踪人员的下落。研究将测试(1)系统在不同距离、不同角度下的误接受率(FAR)和误拒绝率(FRR),(2)人脸识别速度,(3)系统检测失踪者位置的准确性,(4)系统的短信通知能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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