基于人脸识别的校车学生监控系统

C. James, David Nettikadan
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引用次数: 7

摘要

最近的报告证实了这样一个事实,即在校学生最容易受到全球和我国发生的社会犯罪的伤害。其中许多情况发生在他们从住所到学校的路上,反之亦然。在许多情况下,包括性骚扰在内的社会犯罪发生在他们的校车上。考虑到这种严重的情况,我们提出了一种使用图像处理技术的实时监控系统。-通过相机等大众媒体,用照片来识别学生已经普及。该系统监控车内的图像,识别学生和他们在车内的活动。该系统可以识别学生的面孔,并监控他们的数量。如果必要的话,该系统还会发出警报以引起公众的注意。开放计算机视觉(Open-Computer-Vision, OpenCV)库中的技术可用,并使用Python实现这些技术。人脸检测采用Haar-Cascades分类器,人脸识别采用特征脸,局部二值模式直方图。系统的每个阶段都用流程图来描述。人脸识别在自动化考勤系统中的应用,消除了人工考勤系统存在的诸多弊端,如考勤记录易被篡改、代理考勤、系统不安全等。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Student Monitoring System for School Bus Using Facial Recognition
Recent reports confirm the fact that school students are the most vulnerable to social crimes happening across the globe and our country too. Many of these cases happen during their ply from their residence to school and vice versa. In multiple cases these social crimes including sexual harassment happened in their school bus itself. Considering this serious situation, we are proposing a real time monitoring system using image processing techniques. — Identifying a student with an image has been popularized through the mass media like camera. This system monitors the images inside the vehicle and identifies the students and their movements inside the bus. The system recognizes the student faces and their count are also monitored. The system will also raise an alarm to get the attention of the public if it is so essential. Technologies are available in the Open-Computer-Vision (OpenCV) library and implement those using Python. For face detection, Haar-Cascades classifier was used and for face recognition Eigenfaces, and Local binary pattern histograms were used. each stage of the system described by some flowcharts. And also face recognition used in automation attendance system which eliminates most of the drawbacks that the manual attendance systems pose, easy manipulation of attendance records, proxy-attendances, and insecure system.
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