Building a Smart IoT Street Lighting System with Fault Detection

Karthigeyan G — Sat, 20 Dec 2025 07:56:04 +0000

Street lights are everywhere, yet most of them still operate blindly turning on and off without knowing whether they are actually working. I wanted to solve this gap by building a smart street lighting system with fault detection.

The idea was simple: if a street light fails, the system should detect it automatically and report the issue remotely. I designed the system using an ESP8266, LDR sensors, and a relay module to control power and monitor light output in real time.

The system continuously compares ambient light levels with the actual lamp output. If the environment is dark but the lamp does not emit light, the system flags it as a fault and sends an alert via a mobile dashboard. Firmware was written in Embedded C with real-time sensor sampling and conditional logic for fault detection.

One of the biggest challenges was handling false positives caused by sudden light fluctuations. I solved this by adding threshold windows and delay-based validation, which significantly improved reliability.

The final system successfully automated lighting control while enabling proactive fault detection. This project strengthened my understanding of sensor fusion, embedded decision logic, and real-world IoT reliability.
Next, I plan to scale this system using mesh networking and cloud-based analytics.

Hey There! DOM On the Way!

Karthigeyan G — Sat, 20 Dec 2025 07:52:12 +0000

DOM is an AI-powered autonomous robotic system designed and developed entirely from scratch to demonstrate intelligent perception, interaction, and real-time control. The robot integrates embedded systems, artificial intelligence, and IoT technologies to operate autonomously while interacting with its environment through vision and speech.

DOM is equipped with multiple sensors, a camera module, and a speech interface that enable environmental awareness, visual perception, and human-robot interaction. AI-based algorithms automate core functionalities such as decision-making, object recognition, and task execution, allowing the robot to adapt dynamically to real-world conditions.

A custom control system and real-time dashboard were developed to remotely monitor robot telemetry, sensor data, and system status. This interface enables live control, diagnostics, and performance tracking, providing a scalable foundation for advanced robotic operations.

The mechanical structure of DOM was designed using CAD tools and fabricated through 3D printing, ensuring modularity and ease of hardware expansion. The project involved end-to-end development, including hardware design, embedded firmware, networking, AI integration, and system optimization.

DOM is a continuously evolving platform; its intelligence improves through ongoing training with new data, enabling progressive learning and enhanced autonomy. This project showcases hands-on expertise in robotics system design, embedded AI, and intelligent automation.

DEV Community: Karthigeyan G

Building a Smart IoT Street Lighting System with Fault Detection

Hey There! DOM On the Way!