Solera says it has released an update to its artificial intelligence (AI) powered, end-to-end automotive claims platform, Qapter, that delivers 40 per cent faster damage detection – now in under two seconds. Driven by a “new approach to machine learning”, the release is said to be a more intuitive and easy-to-use system for faster, accurate car repair estimates.
“Our continuous investment into core machine learning capabilities is accelerating the pace of evolution of Qapter,” said Evan Davies, Chief Technology Officer at Solera. “With the continued innovations our team has developed, we can provide a full, detailed repair cost estimate in less time.”
Solera says that in addition to fast AI-powered vehicle damage detection, the Qapter update provides users with real-time image-quality feedback. Dark, blurred or over exposed images will be highlighted so that better images can be taken. Combined with the machine learning in Qapter’s AI, fewer images are required to deliver a better, faster estimate.
According to Solera, the solution also brings higher accuracy for parts and damage detection, with an improved ‘damage localiser’. The AI can identify and itemise damage of the same type in the same area – for example, multiple scratches on a front bumper. It can also better detect damage when reflections are present, as these can disguise damage and compromise an estimate.