SMART PARKING SYSTEM USING VISION SYSTEM FOR DISABLE DRIVERS OKU
Vision based systems have been used widely for various purposes that includes parking management, highways and industrial applications. In this paper smart parking system for disabled people has been developed based on vision technology. To accomplish this recognized image undergoes several pre processing phases. Since the proposed system focuses disabled people therefore RFID tag detection feature has also been introduced for ticketless system that would store information of the parked vehicle and automatically deduct some balance on the base of duration. In the preprocessing phase several techniques have been applied such as Gaussian blur, Otsu binarization and Threshold INV. For the recognition of pattern K Nearest Neighbour algorithm (K NN) has been used for OKU sticker recognition. After the successful implementation of the system it has been tested out for evaluation and analysis under different lightning conditions and scenarios. Through collected data it can be concluded that the developed system performs efficiently in different lightning conditions by providing accurate results.