DeGould’s two main products are the Auto-scan and Auto-compact. Both systems use ultra-high-resolution images captured in a controlled lighting environment. AI algorithms then process the images in the cloud and identify defects like scratches, dents, paint chips and wheel scuffs. Finally, the dashboard supplies a complete and accurate vehicle condition record in less than a minute. The Auto-compact system uses a combination of structured, dark and bright field lighting, as well as a range of cameras, to capture hundreds of ultra-high-definition images in seconds. As well as damage, the AI also checks the vehicle specification. Images are held in the cloud for easy access and storage, customers can review the data on the dashboard. The Auto-compact system can be used as a drive-through system or placed over a conveyor.
Full-frame sensor-based cameras
The image quality is only as good as the amount of light that gets through to the image sensors in the cameras. If DeGould used only machine vision-based technology with smaller sensors and lenses, they wouldn’t be able to identify the tiniest defects. By using Sony’s Alpha 7RIV and 9II cameras with an exclusive 61MP full-frame image sensor housed inside the Alpha 7RIV, the system can detect and analyse more surface defects. To maximise the amount of light going to the image sensor the Sony G Master lens is used; this increases the pixel count, which is vital for detecting minute defects on a vehicle’s surface. The full-frame sensor-based cameras provide a different image compared to a traditional industrial-based RAW image. The larger surface area of the sensor and back-illuminated structure of the Exmor R and Exmor RS image sensors allows for the maximum amount of light to reach the pixels.
