SURVEY ON POTHOLE DETECTION AND COMPLAINT MANAGEMENT SYSTEM USING DEEP LEARNING

Registration ID: IJNRD_196083

Published ID: IJNRD2305570

DOI: Click Here to Get

Shubham Tanaji Barangule , Nandakishor Ankush More , Omkar Tanaji Mote , Abhishek Tanaji Doke , Prof.Arunadevi Khaple

Pothole detection, Convolutional neural networks, Deep learning, Road maintenance, Image processing

Potholes are a common problem in road maintenance, which can cause serious accidents and damages to vehicles. Traditional methods of pothole detection involve manual inspections, which are time-consuming, costly, and often result in missing some potholes. In recent years, the development of pothole detection systems using convolutional neural networks (CNNs) has shown great potential to improve road maintenance efficiency. This survey paper provides an overview of the recent advancements in the pothole detection system using CNNs. The paper discusses the state-of-the-art techniques and their limitations, as well as the challenges and future directions in this field. The survey paper reviews several state-of-the-art techniques in pothole detection using CNNs, including YOLOv4, Faster R-CNN, and Mask R-CNN. The paper also highlights the challenges in this field, including the limited availability of datasets and the need for real-time processing algorithms that can run on low-power devices. The survey paper concludes by emphasising the significance of pothole detection systems using CNNs in improving road safety, reducing repair costs, and improving the overall infrastructure.

Published Paper   E-Certificate

Shubham Tanaji Barangule, Nandakishor Ankush More, Omkar Tanaji Mote, Abhishek Tanaji Doke, & Prof.Arunadevi Khaple (May-2023). SURVEY ON POTHOLE DETECTION AND COMPLAINT MANAGEMENT SYSTEM USING DEEP LEARNING. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), f463-f465. https://ijnrd.org/papers/IJNRD2305570.pdf

Volume 8 Issue 5, May-2023

Pages : f463-f465

Paper Reg. ID: IJNRD_196083

Published Paper Id: IJNRD2305570

Downloads: 000121977

Research Area: Engineering

Country: Pune, maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305570.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305570

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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