Computer Vision Based Parking Space Availability Prediction for Smart Cities Using Machine Learning

Due to the rapid increase in vehicle density in metro cities especially during the peak hours of the day, the task of finding parking spaces to park their vehicles especially cars  which are mostly used as family vehicles has become increasingly daunting. Time is running out as the population of the world is continuosly growing, so we need to minimize the time spent on meaningless activities such as finding a parking space, and thus avoid traffic in crowded places that cause unwanted traffic jams. The system we propose in this research not only focuses on finding parking spaces for cars, rather, it’s designed as a park management system to manage various aspects of the car park such as accident detection to avoid congestion inside the car park and automated face capture car identification detection to facilitate the security protocols in the car park. The aim of this research is to create a software solution that can provide drivers inside a car parking, a completely automated and safe experience. This can be utilized for real time implementation and should be implemented as part of applications in futuristic parking systems.