• Sanjay Narayan Hangari
• Shivaram A M
• Bharath Kumar A H
• B C Sevanthi
• Sneha R

Maintaining and ensuring the safety of roads is crucial for efficient transportation. Potholes present a major hazard to drivers and pedestrians alike, causing accidents and escalating maintenance expenses. This initiative introduces a cutting-edge approach to pothole detection and depth measurement. It combines the capabilities of the “Single shot multibox Detector”, (SSD), the Deep Learning Algorithm for instantaneous pothole spotting with ultrasonic sensors for precise depth assessment. The proposed System is designed to notify drivers of the existence of potholes on the road, enabling them to take necessary precautions. When a pothole has been identified within the range of the vehicle's tires, the system issues a caution to the driver, prompting them to reduce speed or opt for an alternate route. The core of this framework employs the SSD, Deep Learning Algorithm using the Region of Interest (ROI) technique, renowned for its effectiveness in object detection. This allows the framework to detect and locate potholes in Photos or Video frames taken by onboard cameras in real-time. This ensures immediate action can be taken when potholes are detected. Besides identifying potholes, the system integrates ultrasonic sensors set up on the vehicle. These Sensors, are essential in identifying the depth of the identified potholes. By emitting ultrasonic waves towards the road surface and measuring the time taken for their return, the system can accurately calculate the depth of the pothole .By merging advanced deep learning technology with sensor-based measurements, this project offers a holistic solution for effective pothole management, aiming to enhance road safety and reduce maintenance costs.

Pothole, Pothole depth, Deep learning, SSD algorithm, Ultrasonic sensor

"Street Surface Anomaly Sensing System ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.m46-m52, April-2024, Available :http://www.jetir.org/papers/JETIR2404C08.pdf

"Street Surface Anomaly Sensing System ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppm46-m52, April-2024, Available at : http://www.jetir.org/papers/JETIR2404C08.pdf