AI in Crash Testing 🚗
At Aray InfoSolutions, we are showcasing how AI can be integrated into crash testing for object detection, classification, and real-time speed estimation.
Using a deep neural network with a pretrained model, we have applied object detection to identify people and vehicles during a crash test scenario. The system also calculates the real-time speed of the car.

📷 Camera calibration is a crucial step in accurate speed estimation. Factors such as camera manufacturer, FPS, focal length, and installation parameters play a big role. Changing the camera type/brand or even its position can significantly affect results — a key challenge also faced in ADAS (Advanced Driver Assistance Systems) for Level 4 autonomy.
This demonstration is just a glimpse of our capabilities in AI (ML & DL), crash analysis, and CAE. We’ll be sharing more exciting work in the coming weeks, so stay tuned!