Assess Car Damage with Computer Vision

Computer vision technology is being leveraged to detect car damage, offering potential applications in vehicle inspections and insurance claims. By using two instance segmentation models from the Roboflow Universe platform, the solution can identify specific car parts and assess damage with precision, improving over traditional object detection methods. The process involves using one model to detect damage like dents or scratches and another to segment car parts such as bumpers and windows, enabling a detailed analysis of which specific parts are damaged. The article details a step-by-step guide to implement this system, emphasizing the potential for quicker and more efficient damage assessments, which could streamline insurance claims and repair processes. This advancement in AI technology could lead to faster decision-making by insurance companies and a smoother, more cost-effective experience for consumers.