基于短信的宵禁监控系统,从人脸数据库中检测未成年人,辅助地方政府单位使用图像处理

Jessie R. Balbin, John Maverick Ramos, Joseph Nathaniel Reyes, C. Santiago
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引用次数: 0

摘要

马尼拉市政府最近刚刚实施了一项严格实施未成年人宵禁的城市法令。通过访谈,研究人员发现宵禁的实施系统使用人力和在村周围漫游的村巡逻队。本研究的目的是开发一个使用图像处理和短信通知功能的宵禁监控系统。本研究实现了局部二值模式直方图(LBPH)算法。该系统成功地识别了注册到该系统的人脸。研究人员遇到的挑战是面部识别的范围是有限的。远处的人无法被系统识别。还有,脸应该对着镜头。与相机的任何角度都会使识别的%置信度降低。该系统具有很强的识别能力,人脸直接面向相机,误差为15度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SMS based Curfew Monitoring System for Detecting Minors from a Facial Database to Aid the Local Government Unit Using Image Processing
The Manila City Government just recently implemented a city ordinance of strict implantation of curfew for minors. Upon conducting interviews, the researchers found out that the system of implementation of curfew uses manpower and barangay patrol roaming around the barangay. This study aims to develop a curfew monitoring system using Image Processing with notifying features via SMS. LBPH (or Local Binary Pattern Histogram) algorithm is implemented in the study. The system was successful in recognizing faces that are registered to the system. The challenge that the researchers encountered was the range of facial recognition is limited. People that are far away cannot be recognized by the system. Also, that the face should be facing the camera. Having any angle with the camera will make the % confidence of the recognition lower. The system has great recognition with the face facing directly at the camera with 15 degrees tolerance.
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