JJEM: Special Edition 2 (December 2024)
JJEM: Special Edition 2 (December 2024)
2024-12-08
Image processing based traffic control system using open CV.
Nitesh Kumar, Sampath Kumar
This paper describes the development and execution of the smart traffic light management system with a microcontroller. In Pugh’s case, this seems to have been a working Software model that was employed demonstrate the feasibility of a smart traffic system. It intended to adjust the traffic light because of traffic intensity on each side of the junction. Still, infrared sensors and cameras can be effective tools where they are actually reasonably applicable – in the hardware. Regarding the number of cars, image processing is utilized to estimate this number and the timings are calculated based on the proportionality of the data at a ratio of vehicle density. In this research, it is the morphological algorithm and the gaussian algorithm that were used in this research contextual analysis was not used. It also means quicker dispersion of traffic jam in terms of the number of the carriageway space available in most used highway in comparison to the least used highway.
Traffic Density Estimation, Vehicle Detection, Image Segmentation, Image Processing.