Victim identification application with face recognition based on android

Author:

Triyono L,Handoko S,Puspawaty K Y

Abstract

Abstract The increase in the population causes the problems faced are also increasing. Problems that arise include that, the number of accident victims who have recently often occurred on the highway, where the victims of the accident suffered minor injuries to severe and some even have to take lives due to accidents on the highway. And the second is crime, like a murder case that can take someone’s life. Often victims do not carry identities, making it difficult for the police or related parties to identify victims of accidents and killings. This system is made in the hope that it can help the police or related parties to be able to recognize the face of the victim without an identity just by using the android application. So that it can save more time in identifying the identity of the victim. Victim face recognition algorithm using Facial Landmark Detector and for its implementation using the Dlib library. To do facial recognition, it is done by taking Figures of victims using an application on android which is then sent to the server for the recognition process. After the image is sent to the server, the recognition process will be carried out, the results of the introduction process are sent back to android to display the results. The level of accuracy of the victim’s face recognition with a wound if using a tolerance of 0.35 is 100%, but if using tolerance 0.2 the level of accuracy is only 25%.

Publisher

IOP Publishing

Subject

General Medicine

Reference10 articles.

1. Sistem Pengaman Pintu Gudang Senjata Rudal Arhanud TNI AD dengan Identifikasi Wajah;Hermawan,2017

2. Perancangan Dan Implementasi Aplikasi Mobile Sebagai Pemantau Dan Pengendali Pada Sistem Keamanan Gedung Berbasis Embedded;Asmara;in e-Proceeding of Engineering,2016

3. Rancang Bangun Aplikasi Absensi Perkuliahan Mahasiswa dengan Pengenalan Wajah;Yusuf;J. Tek. ITS,2016

4. Sistem Kontrol Akses Berbasis Real Time Face Recognition dan Gender Information;Nurmala;ComTech,2015

5. Implementasi Algoritma Pengenalan Wajah untuk Mendeteksi Visual Hacking;Alexander;E-Journal Tek. Inform.,2017

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3