Car Parking Occupancy Prediction

Nowadays in modern cities, with the continuous growth of cars, parking slot availability is becoming a more and more difficult task. So, an efficient car parking occupancy detection system is becoming a necessity in order to reduce traffic congestion in parking lots. This paper proposes a system based on computer vision algorithms and basic image processing techniques that is capable of determining if a parking space is occupied or not, using aerial images captured through a camera. It aims to solve the issue of detecting a parking space that minimizes the time spent in searching parking lots which in turn reduces the carbon emissions that lead to a better quality of life. Current solutions available to this problem use hardware devices, IoT, sensors, CNN, and various deep learning algorithms. But the proposed system eliminates all the above complexities, thus resulting in greatly decreased expenses