Mohsin Raza1, Louis Rossier-Tillard2, Simon Vigoureux2, Hoa Le-Minh1, Philippe Coste2
1 Department of Math, Physics and Electrical Engineering Department
Faculty of Engineering and Environment
Northumbria University, UK
2 IUT de Cachan, Electrical and Informatics Engineering Department
Univerité Paris-Sud, France
Corresponding author: Mohsin Raza (firstname.lastname@example.org )
In this paper, an image processing based smart parking assistance system is proposed. The proposed system helps drivers in giving appropriate feedback on how good they have parked the vehicle. The proposed smart parking system also detects free and occupied spaces in a parking area. It also detects if the driver has properly parked the vehicle and indicates in case the vehicle is not well parked. It also notifies the driver to re-park properly if the vehicle is not properly parked. The parking assistant system is using a Raspberry Pi based embedded solution, which integrates PlayStation Eye. The proposed system monitors a block of eight consecutive contiguous parking spaces, which improves the cost efficiency. A modular approach is adopted which allows scalability in the system for generating parking map to assist drivers to find available parking space. The image captured by PlayStation Eye is pre-processed and segmented for individual parked vehicles. Images are taken at four-second interval and are analyzed for newly parked vehicles. Vehicles, violating the parking error margin are identified in real-time and the driver is informed to re-park accurately. Proposed system follows modular approach for better scalability and ensures power efficiency with the incorporation of low energy modules with extended sleep interval. Keywords: Parking Assistance System, Parking space, sensors, smart parking, image processing, Raspberry Pi, underground parking.
Keywords: Parking Assistance System, Parking space, sensors, smart parking, image processing, Raspberry Pi, underground parking.