ROAD DETECTION APPLICATION USING K-NN ALGORITHM (K – NEAREST NEIGHBOUR)

Abstract

The development of increasingly advanced technology has helped many agencies such as intelligent detection systems in an image. The detection in question is the detection of damage or detection of holes on the surface of the highway. To fulfill this, an application using the K-NN (K-Nearest Neighbor) algorithm was built. In recognizing the object being observed, the image segmentation process is carried out using Grayscaling. The way this damage detection application works is done by taking pictures by the user using a smartphone camera, then the image data is processed into the application for grayscaling and taking the shape of the rectangle image so that it can detect objects that are supported by the Computer Vision based module from Python. The results of this study are in order to obtain a more accurate detection system and be able to distinguish the form of damage.Keywords: Classification, Computer Vision, Machine Learning, Classification Algorithms, Image, Python.