Arrest Records Management System (ARMS) using Fingerprint and Face Recognition: A Criminal Record Management System for the City of Makati, Philippines
William Penaflor Rey, Kenneth Ian C. Africano, Karl Ivan S. Cosca, Paul Jerald S. Landayan · 2022
This research seeks to design and build an Arrest Record Management System (ARMS) using Fingerprint and Face Recognition: A Criminal Record Management System for the City of Makati in the Philippines. An android mobile application, a web-based application, and a desktop application extension were developed as part of the prototype. This study used a systematic and descriptive approach to investigate, design, and implement the Makati ARMS. The Input-Process-Output with Feedback research paradigm was explored in building the system. At the same time, the V-Model Software Development Life Cycle (SDLC) was employed for the system design because of its verification and validation features. Different phases of the SDLC were carefully observed and were meticulously monitored throughout the entire system's concept, design, and schedule. A set of performance and speed tests were conducted using industry-available methods to confirm the consistency of the established framework. Based on the results of the tests, the system recorded an average of 90/100 from the tool analyzed. Loading performance averages 1.725s, interactivity averages 35ms, and visual stability averages at 0, better than the ideal values. Having an overall mean of 1.48, ARMS has adequately captured users' perceived satisfaction, which corresponds to highly acceptable. In general, the Makati ARMS was successfully implemented using the developed system. Interestingly, all the functional requirements were met.