Self Parking car prototype

With the increase in population, the parking space is swarming with cars, which lead to collision accidents. People wait in long queues to get their cars parked. To solve this issue, we present a simple yet effective method for implementing low cost self-parking car. Hardware like raspberry pi 3, infrared sensors and webcam are used. We experimented other methods of parking the car with our prototype like parallel and perpendicular parking. The formula for perfect parallel parking is also discussed. The car is planned to be made smarter by data handling and machine learning. We propose to store the information from Google maps in the computer system of the car, also with machine learning and image processing the car learns about different scenarios. The results show how self-parking can be implemented to regular cars and an ample amount of time and money can be saved.