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1. Smart Street Light With Defect Monitoring System Team TECH RAVENS Vishwakarma Award for Engineering Innovation 2024 Compete | Collaborate | Create

2. Details Team Members: Sr. No. Name Degree program Year Institution 1. LALITH KANNA R B.TECH AI & DS II YEAR Dr. N. G. P.Institute of Technology 2. S SARAN KUMAR B.TECH AI & DS II YEAR Dr. N. G. P.Institute of Technology 3. SHASVATH S K B.E ECE II YEAR Dr. N. G. P.Institute of Technology 4. SANJAY N B.E ECE II YEAR Dr. N. G. P.Institute of Technology Details of Team Mentors: S.No . Name Desigination Institution 1. Dr.S.Rajalakshmi Professor, Dept of AI & DS Dr. N. G. P.Institute of Technology 2. Ms.G.Brindha Assistant Professor, Dept of AI & DS Dr. N. G. P.Institute of Technology

3. Key Problems Addressed by Smart Streetlight Systems : Waste of Energy : Traditional streetlights remain operational throughout the night, leading to significant energy waste, particularly during off-peak hours when lighting is less necessary. Smart streetlights can help mitigate this inefficiency by adjusting output based on real-time conditions. Environmental Impact: Constant streetlight operation contributes to carbon emissions and light pollution, negatively impacting local ecosystems and urban living quality. Smart systems reduce these environmental harms by optimizing light usage, leading to lower emissions and less intrusive lighting. Lack of Maintenance Monitoring: Conventional street lighting systems lack effective monitoring mechanisms, resulting in prolonged outages and delayed repairs. Smart streetlights address this issue by providing real-time performance data, enabling quicker identification and resolution of malfunctions.

4. Market Potential in India:

5. Smart Street Light System Concept Development and Strategic Refinement :

6. Features Added In Our Prototype Module 1: The first module of our project’s adaptive brightness system. The automation enables lights to turn on or off based on environmental conditions like day and night, identified through an LDR sensor. Additionally, the lights operate at low intensity during normal conditions, and when an object is detected, the brightness increases, achieved using a motion sensor. Utilization of the ESP32 microcontroller, which supports multiple sensor integrations and offers built-in Bluetooth and Wi-Fi capabilities. These features will allow for connecting multiple street lights to a centralized control unit for efficient monitoring and management.

7. Prototype Demonstration:

8. Additional Work Yet To Be Undertaken

9. Challenges Faced Sensor Calibration: Initial challenges with precise sensor calibration (LDR, motion) due to environmental variability, requiring extensive testing. Tech Integration: Seamless integration of sensors, ESP32, and Wi-Fi demanded careful planning for effective communication. Power Management: Balancing energy efficiency with performance in power management was critical. Network Connectivity: Maintaining reliable Wi-Fi across varying urban environments posed challenges due to obstructions and interference. Cost Constraints: Budget limitations required selecting cost-effective yet reliable components for scalability

10. References