Vacant Parking Slot Availability Detection Using Yolov8 and OpenCV - Integration with payment functionalities

Mitigating urban traffic and parking challenges is pivotal for residents’ well-being, conserving time, energy, and patience. Employing computer vision techniques, the focus is on optimizing parking space management by evaluating slot occupancy. Instant cameras capture comprehensive parking lot data, system employing YOLOv8 and OpenCV enhances real-time parking management. It accurately identifies available and occupied parking spaces, streamlines video preprocessing, facilitates payment processes, and generates alerts, ultimately optimizing parking operations and resource utilization efficiently. This endeavor underscores a commitment to tackling genuine urban issues, reducing the time spent searching for parking and enhancing the overall driving experience. Supported by an extensive literature review on smart parking, it outlines methodologies and ecosystems to effectively address contemporary parking dilemmas. Smart parking solutions are imperative amidst escalating urbanization and traffic congestion, offering benefits not only in research but also in bolstering economic vitality.