| dc.description.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. | en_US |
