AN ADVISING SYSTEM FOR PARKING USING CANNY AND K-NN TECHNIQUES

Abstract

This study proposes a system which provides the parking characteristics and an application service platform. This system can be used to assist in selecting the parking space for drivers. The system can identify the contours of vehicles, such as cars and motorcycles by using the Canny algorithm. The data can be used to create the dataset and calculate the Parking density. Next, we use the k-nearest neighbour (K-NN) algorithm to produce the parking pattern. The model makes predictions for different conditions at different time.