Hail Scanning System

Business needs

Hail is one of the most unpleasant weather conditions, which makes much damage to cars. Detecting it takes time. Today, drivers report hail dents manually, leaving a large margin for human error. Since checking the reported dents manually is time-consuming, recovery price and time are not clear at the moment when the incident is reported. Our client was looking for a software solution that eliminates the need for manual review, delivering the exact count of hail dents with an accuracy rate of 80 percent or higher, as well as decreasing processing time.

• Our client needed software to inspect the hail damage, identify all types of vehicle damages, and also decrease processing time since checking dents manually is time-consuming.
• Our client wanted to improve the vehicle scanning system that the industry uses for handling hail damage and make it faster and more accurate.
• Our client was looking for an effective solution within 0.5 months.

Provided solution

The solution provided by the CHI Software development team detects all hail damages on vehicles, including minor scratches. The detecting process takes approximately 1 minute in total.

Thanks to commercially reasonable resources used by the CHI team, the solution was developed on the shortest possible timeline, with the necessary quality, safety, and business standards integrated.

Here are the details of what the process of detecting damages looks like:

• A vehicle passes through a light tunnel equipped with optical cameras;
• High-resolution cameras and the software identify every dent and generate a report based on the damage level of the vehicle;
• The scanned data about the condition of the vehicle is compressed and accumulated in safe cloud storage.

Technologies:

Python

Artificial neural networks: YOLOv3, MobileNet

Computer Vision: OpenCV, Keras, TensorFlow in Python to build CNN – RNN networks, HOG, Gabor filters