Intelligent Parking System to Prevent Unauthorized Parking of Vehicles Using IoT and R-CNN with YOLO

In recent years., the proliferation of private vehicles has led to a significant challenge in finding adequate parking space., with unauthorized parking becoming a prevalent issue in many residential societies. To address this problem., we propose a novel solution that integrates machine learning techniques and motion detection technology to effectively manage parking spaces and curb unauthorized parking. Our approach utilizes advanced machine learning models such as RCNN for object detection and YOLOv8 for license plate detection., complemented by optical character recognition (OCR) for character recognition. Additionally., the ESP32-CAM webcam module is employed to capture real-time images., ensuring seamless integration with our system. This combination of technologies allows for the accurate detection of unauthorized parking instances in real time., providing efficient management of parking spaces within societies. Key features of the system include automated vehicle identification., real-time monitoring., and notification alerts., all of which contribute to a robust verification system for resident and guest vehicles. By leveraging these advanced technologies., our solution not only streamlines the parking process but also promotes a more organized and peaceful living environment. This innovative approach addresses a critical issue in urban settings., paving the way for more efficient and sustainable parking management practices.