VELOSCAN FAULT DETECTOR AND INTENSITY MONITOR

Vehicle damage estimation after accidents tends to be done manually, involves a time-consuming process, and is prone to inconsistencies, thereby causing inefficiency in insurance, repair estimating, and fleet maintenance. This paper proposes a sophisticated automated solution that relies on visual data in detecting damaged components of the vehicles, identifying the type of damages, and providing accurate estimations, simplifying the process of evaluation and maintaining consistent results. Building on the current image based framework, the system incorporates video analysis function, allowing damage assessment through holistic evaluation in various angles and viewpoints. This comes in response to the shortcomings of static images, including inconsistency or incompleteness of visual information, yielding strong and reliable results. By ensuring deeper analysis of complex damages, improving reliability, and reducing human error, the solution greatly enhances operational efficiency and provides a scalable platform for damage assessment, making it priceless to stakeholders in insurance, auto services.