Real-Time Automated Road Damages Inspection Using Deep Convolutional Neural Networks
Keywords:
pothole detection, car maintenance, YOLO, CNN, road damagesAbstract
This paperfocused on developing a real time automated road damage inspection using deep neural networks. The performance of the build image detection model is evaluated to get the best overall result. Thousands of images from selected dataset are trained using YOLO (You Only Look Once) v4 algorithm which based on CNN (Convolutional Neural Network). The model is deployed into smartphones to take advantage of the smartphone camera due to its availability. The road damage inspection app can help the road users and municipalities in inspecting the road surface thus can prevent heavy damages to the vehicle and help in providing a better road damage maintenance management.References
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