RoadCrackDetector is a smartphone apps that detects damages on the road by utilizing deep neural network model.
スマートフォン上で深層学習モデルを動かすことで、道路路面の損傷画像を検出するアプリケーションです。
- Detect Road Damages when the car is running
- Stop processing automatically when the car is stopping
- Record road images every 1 second
- Car dashboard
(March 2017) We used yolo detector for training the model. The training dataset is more than 30,000 road images including road damages.. This application can just detect "damages".
(September 2017) We used SSD using MobileNet for training the model. Trained model with 9,053 road images with damages can be accessed here. This application can just detect "damages" and classify "damage types".
Apps with tiny YOLO(March 2017) RoadCrackDetector.apk(140MB) (Android 7.0 or higher is required)
Apps with MobileNet(September 2017) RoadCrackDetector.apk(240MB) (Android 7.0 or higher is required)
We did road inspection with our apps in Toga villege, please check our website! You can also watch the movie in the experiment as a demo(demo movie)
富山県の利賀村にて、本アプリケーションを用いて実際に路面点検を実施しました (参考)。
実験の様子をデモ動画として公開していますので、ご覧ください。