School Intrusion Notification and Alarm System Using Face Recognition
Abstract— In a school, security is very crucial to prevent intrusion that may lead to crime. With a few guard stations in the school, unauthorized person could enter the school premises and could make a crime. With the added CCTV’s it can be used to review the recorded video to what happened when a crime was reported. Authorized personnel, students, and offices are not 100% secured but to increase security, improving the security systems in school will help and prevent such crimes. Students and employees of the school must be identified as well as guest as they enter the school to know if they are authorized to enter or not. This study aims to develop a security system in schools to identify each person’s face that enters the school and notify the guard on duty if the person is an intruder or not, by using face recognition technique, students, employees and guests must be registered into the system saving their records and face information. The real time video from the CCTV will be scanned by the system and get face information comparing it to the database. Unidentified faces will be identified as intruders activating an alarm and notifying the guard on duty to check the posted image on monitor screen at the guard station. In the facial recognition algorithm, Principal Component Analysis is used with Eigenface to store and compare faces in the database. Level of effectiveness was identified using Technology Acceptance Model (TAM) using these variables, Information Quality, System Quality and Information Use. The system’s usability test will be done using the Quick and Dirty test questionnaires with 10 security guards in the school and 12 ROTC Officers. Enhancement in security is needed in the school, with the study proven to be effective, the schools security surely increases.
Index Terms— Facial Recognition, Face Detection, Computer Vision, Security Systems.
Romeo E. Balcita, Rommel E. Balcita
Northern Philippines College for Maritime, Science and Technology San Fernando City, PHILIPPINES
Thelma Domingo Palaoag
University of the Cordilleras, College Research Coordinator Baguio City, PHILIPPINES
Cite: Romeo E. Balcita, Rommel E. Balcita, Thelma Domingo Palaoag, "School Intrusion Notification and Alarm System Using Face Recognition," Proceedings of 2018 the 8th International Workshop on Computer Science and Engineering, pp. 585-590, Bangkok, 28-30 June, 2018.