The importance of every pixel when analyzing vehicle damage
05 April 2022 · By Irene Martínez
Our vehicle can be damaged in many ways. From hitting the post next to our parking space to an unintentional scratch when driving too close to a bush, or even a small dent made by the car parked next to ours.
Usually, this damage isn’t too serious and does not prevent the vehicle from doing its job - getting you from A to B. However, it can cause great frustration to the drivers, who see the scratch on their vehicle’s right door every time they get in.
How can the driver resolve these small claims?
The chances are you’ll have to contact the insurer and thereafter, process the damage claim. This may seem simple, but most of the time it’s quite the opposite, an arduous, complicated, and not at all transparent process for the policyholder. Contacting the insurer can take a lot of time. Once contact has been established, it is up to you to find out how the process of collecting evidence is carried out. Does the expert have to go to the place of the claim? Does the policyholder have to take the vehicle directly to a repair center? Just imagine how easy it would be to send all that visual evidence digitally and remotely to the insurance company.
That is exactly what we do at Bdeo. We offer Visual Intelligence solutions that enable insurers to collect damage evidence and deliver better experiences to policyholders by adapting their processes to their new needs. Bdeo makes a significant difference when it comes to processing damage claims in a quicker, simpler way, modifying steps that now, thanks to technology, can be done remotely and digitally.
Here is where the famous pixels come in, the key to damage analysis at Bdeo
However, beyond collecting evidence, Visual Intelligence solutions are able to process and analyze these images at a pixel level. This provides a powerful level of detail that is able to deliver information of enormous value to the company.
At Bdeo, and thanks to the masks system we have developed, both the severity of the damage and the affected surface is visually highlighted.
This enables insurers to prioritize the most relevant damage that needs to be handled more quickly. It also allows you to calculate the cost of repairing or replacing the part. This is valuable information for the insurer that allows them to give a cost estimate to the policyholder. It also allows them to decide whether to pay the cost of the repair so that the policyholder can manage it themselves or if it is to be managed by the insurer.
As we can see, analyzing each pixel of the damage is very important for the insurer as it facilitates the removal of external dependencies based on specific vehicle models. That is, if a white car has a scratch on its right front door, it doesn’t matter if the vehicle is of a certain brand or another, at Bdeo we focus on the damaged part, paying attention to its severity and surface.
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Artificial Intelligence in general, and Visual Intelligence in particular, are very present in our days. Perhaps, much more than we imagine.