Main Article Content
There is a great need for safe living and travel in this age of rapidly developing technology. The number of cars on the road has risen steadily during the previous decade. As the number of vehicles on the road continues to soar, keeping tabs on each one becomes an increasingly difficult chore. In this study, we propose using roadside surveillance cameras to implement an automated vehicle tracking system for high-velocity vehicles. Obtaining CCTV video of a live event is a time-consuming operation. You Only Look Once (YOLO), a deep learning model used for object recognition, is utilised to address this issue. There are essentially four stages to the suggested process.
TURCOMAT publishes articles under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This licensing allows for any use of the work, provided the original author(s) and source are credited, thereby facilitating the free exchange and use of research for the advancement of knowledge.
Detailed Licensing Terms
Attribution (BY): Users must give appropriate credit, provide a link to the license, and indicate if changes were made. Users may do so in any reasonable manner, but not in any way that suggests the licensor endorses them or their use.
No Additional Restrictions: Users may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.