Smart Eco-Commute: An IoT-enabled QR-based Digital Bus Pass Validation and Monitoring System
Abstract
The increasing demand for efficient, secure, and scalable public transportation systems necessitates the adoption of automated digital verification mechanisms. Traditional paper-based bus passes are prone to duplication, misuse, and time-consuming manual validation, leading to operational inefficiencies. To address these challenges, this paper presents Smart Eco-Commute, an IoT-enabled automated bus pass validation system that integrates QR code authentication, embedded hardware control, and cloud-based data management. The proposed system utilizes an ESP32-CAM module for real-time QR code detection and video streaming, along with a Python-based processing unit for decoding and validation. Firebase Cloud Storage is used to ensure secure, reliable, and real-time data access. An Arduino Nano is employed to control the physical access mechanism, including a servo motor for door operation, an LCD for status indication, and a buzzer for alerts. The system was evaluated under various conditions, including expired passes, tampered QR codes, repeated scans, and different lighting environments. Experimental results demonstrate high accuracy, fast response time, and reliable performance. The proposed solution significantly reduces manual effort, enhances security, and improves passenger flow, making it suitable for deployment in modern smart transportation systems.
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