Ensuring that the materials used in vehicles are structurally sound is vital for public safety. Sina Negarandeh, a master’s student in computer science with a concentration in applied artificial intelligence, aims to support this with his AI model that significantly accelerates analysis of X-ray data on structural damage. This model is as accurate as standard techniques but takes a fraction of the time.
Using artificial intelligence to detect internal damage to vehicles in real time
Master’s student Sina Negarandeh is working on an innovative model that uses artificial intelligence to speed up the process of analyzing X-rays showing internal damage to vehicles, such as cars and airplanes. This research helps avoid catastrophic vehicle failure and reduce wasted resources.
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