QR Code and Face Recognition-Based Vehicle Key Validation System in SIPAKAD Application

Telekomunikasi Militer

Abstrak

Vehicle management in the military, particularly the Army, requires a secure, fast, and efficient system to support daily operations. Manual processes for driver identity verification and vehicle access have proven to be ineffective and prone to errors. This study aims to design and implement a vehicle key pickup and return validation system based on QR Code technology and face recognition through a Progressive Web App (PWA) called SIPAKAD. The system is developed to enhance security, efficiency, and transparency in the management of official vehicles at Poltekad. QR Code technology is used for vehicle identification, while face recognition serves as biometric authentication for drivers before accessing vehicle keys. The system is built using PHP, MySQL, Flask (Python), integrated with Firebase Cloud Messaging for real-time notifications, and utilizes the MQTT protocol for communication between IoT devices. Testing conducted with the Raspberry Pi 3B showed that the highest validation accuracy was achieved under straight face conditions with bright lighting at 64.12%, with an average total accuracy of 43.99% across four conditions, and an average response time of 5.2 seconds. The implementation results demonstrate that this system reduces identification time, speeds up validation processes, minimizes manual errors, and supports more modern and documented vehicle data management.