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Dent Detection on Vehicles Due to Hailstorm - Inferenz

Dent Detection on Vehicles Due to Hailstorm

Darknet

Python

Tensorflow

Challenges

Identify and localize small dents caused by hailstorm on vehicles for an Insurance application
All small dents had to be detected whereas an actual gap like between the doors or curves as part of panel design should not be misclassified
Detect small hailstorm dents which could be only a few pixels in the image, while noise should not be classified as false positives

Solutions

Develop and deploy an advanced NN model to classify dents caused by hailstorm
Choose a model whose feature extraction capability does not let small features vanish as we go to deeper layers
At the same time, it could improve speed and accuracy for small dent detection on low resolution images
Retrain the model whenever there is any misclassification or when a new dent shape is detected

Benefits

Accurate and automatic detection of dents
Since there is no manual intervention, this solution enables improved and high-speed insurance settlements without any frauds during hailstorm season