Smart Pedestrian Light Monitoring System

Abstract

The Smart Pedestrian Light Monitoring System aims to enhance pedestrian safety at night by implementing an intelligent lighting system based on Internet of Things (IoT) technology. The system integrates an LDR sensor to measure ambient light levels, an IR sensor to detect pedestrian presence, and a current sensor to monitor lamp status. Additionally, an RFID-based access control mechanism is implemented to restrict maintenance box access to authorized personnel. This purpose is for the safety aspect of the maintenance box for restricted maintenance personnel only. The ESP32 microcontroller serves as the central processing unit, transmitting real-time notifications via the Telegram application to registered users for remote monitoring and control. The implementation of this smart lighting system reduces unnecessary energy consumption by ensuring that lights are only activated when needed. Testing and evaluation of the system demonstrate its ability to accurately adjust street lighting based on environmental conditions and pedestrian activity. Furthermore, the system successfully delivers instant notifications regarding lamp status, pedestrian detection, and maintenance alerts. This solution is expected to significantly reduce accident risks, enhance energy efficiency, and contribute to a safer pedestrian environment, particularly in poorly lit urban and suburban areas. Future enhancements may include the integration of additional sensors and AI-based analytics to further optimize system performance and predictive maintenance.

Keywords: Monitoring, Pedestrian light, IoT