Project Description:

The Automated Street Light System is an IoT-based smart lighting solution designed to optimize energy consumption by automatically turning street lights ON or OFF based on ambient light levels and/or motion detection. This system improves road safety, reduces electricity usage, and promotes smart city infrastructure.

Technologies Used:

• Backend: Node.js / PHP / Java

• Frontend: HTML, CSS, Bootstrap, JavaScript

• IoT Hardware: LDR (Light Dependent Resistor), PIR Motion Sensor, ESP32/Arduino, Relay Module, Wi-Fi Module

• Database: MySQL / MongoDB

Key Features:

1. Light-Dependent Activation:

   • Uses LDR sensor to detect natural light levels.

   • Lights automatically turn ON at night and OFF in daylight.

2. Motion-Based Control (Optional):

   • Uses PIR sensors to detect movement.

   • Street lights turn on only when movement is detected during night time, saving more energy.

3. Central Monitoring Dashboard:

   • Admin panel to monitor status of each light.

   • Displays real-time status (ON/OFF), light levels, and sensor data.

   • Allows manual override if needed.

4. Energy Usage Reports:

   • Historical data on how long each light was active.

   • Estimated energy saved through automation.

5. Fault Detection Alerts:

   • Detects and notifies when a light is not functioning.

6. Scalable Node Management:

   • Add or remove lights (nodes) easily.

   • Supports deployment over large areas (e.g., campus, highways).

System Workflow:

1. Each street light unit is connected to an LDR and optionally a PIR motion sensor.

2. The microcontroller reads data and decides whether to power the light.

3. Data is sent to a backend server for logging and monitoring.

4. Admin can view all data in a user-friendly dashboard and configure thresholds.