• Vignesh Marla
• Mrs. Pratibha Joshi
• Kunal Patkar
• Anvesh Lokhande
• Manas Mendon

The main objective of the project is to improve the safety measures of vehicles and to enhance the performance of high-speed vehicles in various racing sporting events. The project includes concepts such as data acquisition of vehicles, live speed detection of competitors, and safety distance measurement. The DAQ system which is used here gives the user various readings such as temperature, distance, etc. For live speed detection of other vehicles, we have opted for cameras to click photos of cars around the user’s car. Thus, by calculating the distance from the user’s vehicle at different times we got a change in the speed of cars behind. This data is provided to the driver and it helps the driver to know what speed is required for maintaining the pole position in a race and to prevent accidents because of collisions. The paper consists of systems that can be used to improve performance and security measures in vehicles. Also, it includes the detection of the speed of vehicles using OpenCV and Deep Learning. It also shows how this new way of implementation is better than the traditional way.

Data Acquisition, Speed Detection of vehicle, Safety, Performance, Security, Deep Learning, Open CV.

"Performance and Safety Enhancement of High-Speed Vehicles", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 7, page no.c237-c246, July-2023, Available :http://www.jetir.org/papers/JETIR2307229.pdf

"Performance and Safety Enhancement of High-Speed Vehicles", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 7, page no. ppc237-c246, July-2023, Available at : http://www.jetir.org/papers/JETIR2307229.pdf