Parking Occupant Management System Using Qr Code Solutions With Aes Algorithm

This study presents a Parking Occupant Management System utilizing QR Code Solutions integrated with Advanced Encryption Standard (AES) technology to address inefficiencies in manual vehicle cataloging within educational institutions. Automating this process improves accuracy, efficiency, and security while ensuring adaptability across diverse school parking environments. QR codes facilitate seamless logging of vehicle entries and exits, embedding contact information that enables security guards to communicate directly with vehicle owners in case of issues. The incorporation of AES encryption provides robust protection for sensitive data, safeguarding it against unauthorized access. Designed as a mobile application for Android devices, the system empowers security guards to scan QR codes in real time, effectively recording vehicle activity. Focusing on educational institutions in General Santos City, this study demonstrates significant enhancements in parking management through automation and improved data protection. The system establishes a new standard for secure data management in parking operations and holds promise for application in sectors such as commercial and residential complexes. By offering a scalable solution that enhances efficiency while ensuring data security, it contributes to better resource management. Future developments may explore security enhancements and expansion to platforms beyond Android, increasing accessibility and catering to a wider range of parking management needs. Ultimately, this system serves as a blueprint for modernizing parking management, paving the way for smarter, more secure urban environments.