AI Based Smart Parking System using ESP32-CAM

The AI Based Smart Parking System uses an ESP32-CAM to automate vehicle entry and exit management through edge machine learning and physical control mechanisms. When a vehicle approaches the entrance, the first IR sensor module detects its presence and triggers the ESP32-CAM to capture an image of the vehicle. The microcontroller processes this image locally to perform Automatic Number Plate Recognition (ANPR), reading the license plate information. Concurrently, the NTPClient library can synchronize time via network protocols for logging entry timestamps. Once the vehicle is verified, the ESP32-CAM generates a Pulse Width Modulation (PWM) signal to drive the servo motor, acting as a barrier gate that rotates to grant access. After the car passes through, a second IR sensor module detects the vehicle clearing the gate area, signaling the microcontroller to close the servo motor barrier. Throughout this process, the breadboard and jumper wires maintain secure connections between the ESP32-CAM, the USB to UART converter used for programming, the sensors, and the actuator, creating a cohesive and autonomous embedded system.