Development and Implementation of a Monitoring System for STRC with the Aid of Head Detection

The Development and Implementation of a Monitoring System for STRC with the Aid of Head Detection aims to automate the research room operations to increase its efficiency. It consists of a head detection system, website managed database and a mobile application controlled room access. The website and mobile application cater to two types of users namely, the administrator and the students. The website exclusively features announcements and management of equipment inventory both handled by the administrator. The mobile application features an IN/OUT button which manages the users access on the five (5) research rooms in the building. The head detection system detects, tracks and counts each person that enters a research room. The count noted by the system is then compared to the count of students that used the mobile application for room access. The e-mail and SMS notification system observes the comparison of the two counts and sends the appropriate notification to the administrator when there is a violation in the conditions set for the two systems. The database serves as the central point as it holds every information needed by each element in order to communicate with the whole system

Development and implementation of a monitoring system for STRC with the aid of head detection

© 2018 Universiti Teknikal Malaysia Melaka. All rights reserved. The Development and Implementation of a Monitoring System for STRC with the Aid of Head Detection aims to automate the research room operations to increase its efficiency. It consists of a head detection system, website managed database and a mobile application controlled room access. The website and mobile application cater to two types of users namely, the administrator and the students. The website exclusively features announcements and management of equipment inventory both handled by the administrator. The mobile application features an IN/OUT button which manages the users access on the five (5) research rooms in the building. The head detection system detects, tracks and counts each person that enters a research room. The count noted by the system is then compared to the count of students that used the mobile application for room access. The e-mail and SMS notification system observes the comparison of the two counts and sends the appropriate notification to the administrator when there is a violation in the conditions set for the two systems. The database serves as the central point as it holds every information needed by each element in order to communicate with the whole system

Head detection and tracking using OpenCV

Head detection and tracking has become a significant factor in image processing for the past few years due to its many applications in the field of computer vision. It can play a vital role in a surveillance system. In this paper, the researchers familiarizes and exposes themselves with OpenCV. OpenCV is an open source computer vision library that is written in C and C++. OpenCV is designed for computational efficiency, more-so on real-time applications. Its applications include, facial recognition system, gesture recognition, object detection, segmentation and recognition, motion understanding, and more. This study is part of a bigger research which involves facial recognition implemented in a CCTV system. First the group aims to have a deeper knowledge and understanding about head detection and tracking using OpenCV. The system will utilize head detection using Haar-like features, Haar Training, Concensus-based Matching and Tracking Keypoints (CMT). © 2018 IEEE