Auto insurance processing using images is a critical industry with a lot of room for
automation. In this study, we will look at the topic of car damage detection. Vehicle damage …

As the level of competition increases, image-based vehicle claim processing is gaining an
important role in the insurance industry especially in handling small but more frequent …

Now a day's road accidents occurred very frequently in every part of the world. Damage
investigation and detection after every accident becomes a very challenging and primary job …

According to the US Department of Transportation, there is an average of six million motor
vehicle crashes every year in the United States. For insurance companies, it is very time …

Due to the increasing number of people driving cars, the number of insurance claims has
also increased. This process involves the manual assessment of the vehicle by an insurance …

This research contain convolutional neural network are used to recognize whether a car on
a given image is damage or not, from where it is damage and severity of the damage. Using …

In this paper, we worked on the problem of vehicle damage classification/detection which
can be used by insurance companies to automate the process of vehicle insurance claims in …

" The vehicle collision industry faces challenges such as rising costs and increasing
complexity of repairs. Insurance companies manage the claims process, which is time …

The process for claiming car insurance in Indonesia often takes a long time. Therefore this
research aims to speed up the process of car insurance claims by making an integrated …

Claim leakage costs insurance companies millions of dollars each year because of the
disparity between the cost spent by allowance businesses and the accurate quantity that …