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Author(s):

EMIL NITHISH RANI M D
Keywords:

IoT, Smart Street Lighting, ESP32, Blynk Cloud, Adaptive Brightness, Fault Detection, MQTT, Energy Efficiency, Smart City.
Abstract:
Traditional Street Lighting Operates On Fixed Schedules With No Fault Detection, Causing Energy Waste, Delayed Maintenance, And Safety Risks. This Paper Proposes An IoT-Based Smart Street Light Fault Detection And Adaptive Brightness Control Framework Leveraging ESP32 Microcontrollers, LDR, ACS712 Current Sensors, Voltage Sensors, And PIR Motion Detectors. The Blynk Cloud Platform Provides Remote Monitoring Via Mobile Apps, While MQTT Enables Lightweight Device-to-cloud Communication. Threshold-based Anomaly Detection Identifies Lamp Failures, Voltage Irregularities, And Connectivity Disruptions. Results Show ~45% Energy Reduction And Fault Detection Within 15 Seconds. The Modular Architecture Supports Future AI-driven Predictive Maintenance, Solar Integration, And Smart City Interoperability.