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Student Monitoring System for School Bus Using Facial Recognition

机译:基于面部识别的校车学生监控系统

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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.
机译:最近的报告证实了一个事实,即学生也是最容易受到全球和我们国家发生的社会犯罪之害的事实。这些案例中有许多是在从住所到学校的过程中发生的,反之亦然。在许多情况下,这些包括性骚扰在内的社会犯罪都是在校车本身中发生的。考虑到这种严重情况,我们提出了一种使用图像处理技术的实时监控系统。 -通过照相机等大众媒体普及了利用图像来识别学生的能力。该系统监控车辆内的图像,并识别学生及其在公交车内的运动。系统识别出学生的面孔,并对其数量进行监控。如果必要的话,该系统还将发出警报以引起公众的注意。 Open-Computer-Vision(OpenCV)库中提供了各种技术,并使用Python实施了这些技术。对于人脸检测,使用Haar-Cascades分类器,对于人脸识别特征脸,并使用局部二进制模式直方图。系统的每个阶段都由一些流程图描述。而且,自动考勤系统中使用的人脸识别消除了手动考勤系统带来的大多数缺点,难以处理考勤记录,代理人考勤和不安全的系统。

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