• Mukkara Naga Dheeraj
• Dr Devaraj Verma C
• Gundamraju Sai Subodh
• Yanjarlpati Rahul Reddy
• Singam Reddy Rahul Kumar Reddy

Abstract. This project presents an integrated road safety and monitoring system that combines pedestrian tracking, pothole detection, and traffic sign recognition into a cohesive, real-time solution. Leveraging video feeds from vehicle-mounted or roadside cameras, the system processes each frame through three specialized detection modules. The pedestrian tracking module uses the YOLOv8n model, along with tracking algorithms, to identify and track pedestrians continuously, triggering audio alerts based on proximity and movement speed for enhanced safety. Simultaneously, the pothole detection module, powered by the YOLOv4 model, detects potholes with high accuracy, logging GPS coordinates and issuing alerts to aid in infrastructure maintenance.Together, these subsystems form a comprehensive solution that not only enhances situational awareness for drivers but also provides valuable data for roadway maintenance, ensuring safer and more efficient transportation.

Pedestrian detection, pothole detection, traffic sign recognition, YOLOv8, YOLOv4, real-time alert system, GPS logging, CNN, road safety, infrastructure monitoring, edge computing, parallel processing

"IOT- Based Smart City Traffic Management", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 4, page no.m152-m156, April-2025, Available :http://www.jetir.org/papers/JETIR2504C19.pdf

"IOT- Based Smart City Traffic Management", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 4, page no. ppm152-m156, April-2025, Available at : http://www.jetir.org/papers/JETIR2504C19.pdf