Video evidence of vehicle damage is more accurate as it provides more detailed coverage of the entire vehicle. Video-Based Car Damage Assessment is More Accurate Why 360 Degree Video Capture Solution is Better for Car Damage Detection 1. Inspektlabs analyzed these problems and devised an AI-based car damage assessment app that ensures users get quality evidence for car damage detection. These issues are often because of poor video quality or improper recording. While video car damage detection has improved the assessment process, there are still several challenges from a user experience and technological point of view. They are also easier for AI to analyze for incongruencies or red flags that protect users and assessment centres from liabilities. Video-based car damage assessments offer several advantages over the traditional use of photos. When paired with AI car damage detection, it can often be a quick and easy process of assessment that eliminates the possibility of human errors. 360-degree video capture is a more credible evidence method. Car damage detection is no exception to this advancement. Artificial Intelligence (AI) is constantly evolving and integrated into various sectors. We live in the era of digital automation. So, when it comes to proving your car is damaged, or not, there is a need for a more concrete, irrefutable mode of evidence. There have been incidents when users use photos of multiple cars to make a fraudulent claim, or even photoshop photos to add damages to an undamaged car’s photos. However, photos tend to be questionable evidence as it is often difficult to prove the authenticity of photos. Usually, car damage assessment requires photographs as evidence. If you’re applying for an insurance claim or a used car inspection, you will need to take some photos or videos of the vehicle to properly assess the damages. When it comes to car damage assessment, accuracy is critical.
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