Smart Parking-Lots Based on AI Techniques SPLAI

Finding a parking spot in Kuwait has become a crucial problem since Kuwait is a small country with an area of 17, 818km
²
while the number of vehicles is increasing dramatically. Finding large areas to be used for parking lots has become not a practical solution due to the area limitations in small countries. This improvement makes it easier and faster for users to park and retrieve their cars in a reasonable amount of time. This paper proposes a smart parking lot system. The proposed model is referred to as Smart Parking-Lots Based on AI Techniques (SPL
AI
). SPL
AI
uses an inclining system that inclines vehicles by 30 degrees in order to save precious parking lot spaces. SPL
AI
uses artificial intelligent through image processing techniques that check for authenticated users and vehicles through plate numbers. Users access the SPL
AI
system through flutter cross-platform application. SPL
AI
gives users suggestions to the possible parking spots based on their destination requests and their classes as well. SPL
AI
uses Dijkstra shortest path algorithm to determine the shortest path to the desired location. Users are classified into gold, silver, and bronze classes. Results show that the proposed SPL
AI
is able to optimize parking spaces by around 40%.