ijimsrInternational Journal of Innovation in Multidisciplinary Scientific ResearchCoVolume -3 | Issue - 1 | 2025MultidisciplinaryEnglishOCT - DECNNY20251231Engineering and TechnologyReal-Time Pothole Detection and Preemptive Driver Warning System Using Image Recognition and GPSEnglishY18Mohammed MiskeenAliEnglishNDr. KhajaMasthanEnglishYhttps://doi.org/10.61239/IJIMSR.2025.3124Abstract-Potholes are a persistent problem for road infrastructure, posing safety risks to drivers, causing vehicle damage, accidents, and costly repairs. This paper presents a real-time pothole detection system that utilizes 360-degree cameras and image recognition techniques using Convolutional Neural Networks (CNNs). By leveraging GPS data, the system also geotags pothole locations and alerts drivers within a 200-meter radius of detected potholes via mobile notifications. The system also notifies local authorities for repair interventions. With a detection accuracy of 90%, the system offers an efficient solution for improving road safety and maintenance through real-time detection, Geo location, and automated notifications.EnglishPothole detection, real-time alert, convolutional neural network, GPS, image recognition, geofencing.https://ijimsr.org/admin/abstract?id=41References1619Aljuaid, M., Alotaibi, Y., andamp; Baz, A. (2021). Deep Learning Based Pothole Detection Using Vehicle-Mounted Cameras. IEEE Access. DOI: 10.1109/ACCESS.2021.3051572Jha, S., Kumar, A., andamp; Gupta, M. (2023). Real-Time Pothole Detection Using YOLOv4: A Smart Road Maintenance Solution. IEEE International Conference on Computer Systems and Applications. DOI: 10.1109/ICCSM.2023.3257398Gupta, R., Das, A., andamp; Thakur, N. (2022). IoT-Enabled Pothole Detection and Road Condition Monitoring Using Vehicle Sensors. Elsevier Journal of Environmental Software. DOI: 10.1016/j.jenvsoft.2022.104964Arshad, F., Khan, M., andamp; Yaseen, M. (2021). Real-Time Pothole Detection and Driver Notification Using GPS and Geofencing. IEEE Transactions on Intelligent Transportation Systems. DOI: 10.1109/ITSC.2021.9564782Sharma, P., Goyal, N., andamp; Singh, R. (2022). Cloud-Based Real-Time Road Monitoring System Using AI and GPS. ScienceDirect. DOI: 10.1016/j.future.2022.102519Li, H., Wang, P., andamp; Gao, X. (2020). Mobile Crowdsensing for Road Anomaly Detection: A Large-Scale Pilot Study. Springer Journal of Mobile Networks and Applications. DOI: 10.1007/s11036-020-01640-4G. Yang, X. Xiang, W. Rui, S. Yu, and L. Fei, "Pothole road detection and identification based on improved DeepLab V3+," Highlights in Science, Engineering and Technology, vol. 95, (2024).R. D. Thakare, V. G. Girhepunje, S. S. Bawankule, et al., "Development of a probabilistic framework for enhanced vision safety in driver assistance systems," Communications on Applied Nonlinear Analysis, vol. 31, no. 2s, (2024).andquot;Detection and Classification of Potholes using CNN,andquot; IEEE Access, 2022.andnbsp; https://ieeexplore.ieee.org/document/10596589andquot;Advanced Pothole Detection System: Leveraging CNNs for Safer Roads,andquot; IEEE Conference Publication, 2024. https://ieeexplore.ieee.org/document/10696422andquot;Automated Pothole Detection with Convolutional Neural Networks,andquot; IEEE Access, 2023. [Online].andnbsp; https://ieeexplore.ieee.org/document/10596721andquot;Towards Smarter Cities: Federated Learning and CNN for Pothole Detection,andquot; IEEE Transactions on Smart Cities, 2024.andnbsp; https://ieeexplore.ieee.org/document/10596984andquot;Enhanced Pothole Detection Using YOLOv5 and Federated Learning,andquot; IEEE Access, 2024.andnbsp; https://ieeexplore.ieee.org/document/10696234