Analisis Sistem Komputer untuk Model Lali Lintas Kendaraan Secara Realtime Menggunakan Metode Substraksi

Abstract

Knowledge of computer vision technology is advancing and in line with the need for a system that is controlled continuously, causing research in the field of computer vision will continue to be made. The need for vehicle control system volume settings (TrafikPlan) is urgently needed in this era because the level of vehicle sales increased but the increase is not enough. This research tries to make a traffic model with multiple methods in computer vision hough transform as the boundary area to be detected and connected compenent labeling (CCL) in the calculation of the amount of density in an area that allows setting the vehicle detected using real-time system will be realized This research took the form of the input image and the video will be executed on the testing program with the stages of the process of segmentation, edge detection, hough transform, elimination, subtraction, grayscale and threshold, morphology, and CCL. The results of the test will detect the number of vehicles and road density percentage that passed is quiet, moderate or dense.