• Mrs V. Latha Sivasankari, MCA., M. Phil., M.E.
• Miss.Mishma Diyora. S

The pedestrian application mostly uses cameras mounted on vehicles to watch pedestrian movements when they are traveling on busy roads and highways or when reversing a vehicle and generate notifications in a way that enables the camera to extract more features and supports future applications. This study includes a detection of pedestrian on Indian roads by using Yolov8, Robo flow, Computer Vision methods. Additionally, contrast the performance metrics like detection rate, false alarm rate, accuracy, and sensitivity. These experimental findings surpass the approach and set a new standard for modern technology. YOLOv8 is particularly suited for applications requiring real-time processing, such as autonomous vehicles, security surveillance, and advanced driver- assistance systems.

Pedestrian detection, Yolov8, Dataset, Real Time Detection, Computer Vision, Robo Flow.

"Pedestrian Detection On Indian Roads", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.c66-c72, April-2024, Available :http://www.jetir.org/papers/JETIR2404211.pdf

"Pedestrian Detection On Indian Roads", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppc66-c72, April-2024, Available at : http://www.jetir.org/papers/JETIR2404211.pdf