SMS based Curfew Monitoring System for Detecting Minors from a Facial Database to Aid the Local Government Unit Using Image Processing

Abstract

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.