Scientists in the UK are developing an innovative artificial intelligence (AI) tool to enhance vehicle damage diagnosis and repair post-accident. Collaborating with the University of Portsmouth’s School of Computing, ABL 1 Touch, and Innovate UK, this project aims to provide a standard for UK insurance companies and vehicle fleet operators. Professor Mohammed Bader emphasizes that the tool will serve as a “technical benchmark” for the industry, integrating machine learning and computer vision to merge engineers’ expertise with advanced technology. Graham Roberts from ABL 1 Touch highlights the importance of this AI solution in managing the diverse and complex damage cases in the fast-paced automotive repair sector. The system seeks to streamline operations by identifying, prioritizing, and scheduling repairs efficiently, promoting scalable solutions that eliminate reliance on individual workers and leverage mass data learning techniques. This groundbreaking project is set to reshape the future of vehicle damage assessment and repair.
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