Advisers

Engr. Jean Lester M. Cachola

Discipline

Computer science & engineering

Abstract

his study aimed to evaluate the effectiveness of a Raspberry Pi-based AI-powered compartmentalized entry access system integrated with security monitoring and an Automatic Transfer Switch (ATS) backup power system. It specifically assessed the system’s functionality, usability, and overall presentation, focusing on its ability to enhance safety and security, accurately identify authorized individuals, restrict unauthorized access, and provide continuous monitoring even during power interruptions. The study also examined user perception regarding the system’s reliability and practicality for real-world deployment. A descriptive and case study research design was employed using a survey method. Data were gathered through a researcher-made questionnaire utilizing a 4-point Likert scale to measure the respondents’ level of agreement. The system’s 2D and 3D presentation, functionality, and usability were evaluated based on user responses. The collected data were analyzed using descriptive statistics such as frequency, percentage, and weighted mean to determine overall system performance and user acceptance. The results revealed that the developed AI-based system, integrated with facial recognition, real-time monitoring, and ATS backup power, effectively identified authorized individuals and restricted unauthorized access. It also provided continuous security monitoring through cameras and sensors, allowing real-time detection of suspicious activities even during power interruptions. Survey responses indicated that most participants agreed that the system is effective, reliable, and capable of performing its intended functions while maintaining consistent operation. The study concludes that Raspberry Pi is an effective platform for developing an AI-based compartmentalized entry access system with integrated security monitoring and backup power. The system enhances safety and security, ensures reliable performance, and supports uninterrupted operation. Although implementation and maintenance require adequate resources, the system is considered feasible, practical, and suitable for real-world deployment, particularly in environments requiring continuous monitoring and dependable security systems.

Keywords

AI- Based, Compartmentalized, Security System