Assessment of Intelligent Vehicle Damage and Cost Estimator for Insurance Companies

Abstract

Now a day’s many accidents are taking place, Suppose if an accident had taken place and they want to claim with the respective car insurer they need to likely go through the process of having a person inspect the car's damage at your home or a repair centre and then needing to wait for an official estimate and approval to go ahead with getting the necessary repair work done. While this traditional process can be lengthy and keep your car off the road longer than you'd like, artificial intelligence can now play a role in speeding up the process by taking over the appraiser's work. Vehicle damage detection is used to reduce claims leakage during insurance processing. Visual inception and validation are usually done. As it takes a long time because a person needs to come and inspect the damage. Here we are trying to automate the procedure. Using this automation, we can avoid time conception for the insurance claim procedure. In this we are using the VGG16 model to predict the damage of vehicle. We get the accuracy of 94.56% of VGG16.