Published Paper Details:

The rapid growth of urban populations has led to an increasing demand for smarter and more sustainable city infrastructure. This research presents an IoT-based Smart City framework utilizing Raspberry Pi and ESP32 microcontrollers to automate and monitor key urban services including car parking, street lighting, waste management, and weather detection. The proposed system incorporates three IR sensors to detect vehicle presence in parking slots and operates corresponding servo motors to control gate barriers. For street light automation, Light Dependent Resistors (LDRs) are used to differentiate between day and night, triggering LEDs accordingly to conserve energy. A rain sensor connected to a servo motor detects weather conditions (dry/wet), while smart bins equipped with IR sensors monitor waste levels. Upon reaching full capacity, the system sends SMS alerts using a GSM 800 module and captures the bin location via GPS for efficient waste collection. Real-time data from all modules is transmitted to the Adafruit IO cloud server using the ESP32 module, enabling remote monitoring of IP locations, parking slot availability, bin status, and street light operations. The integration of these technologies into a unified platform demonstrates a scalable and efficient approach to building sustainable smart cities with minimal human intervention.