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Car Damage Recognition Solution

What is Car Damage Recognition?

The Car Damage Recognition system is a set of ML algorithms with an API that utilizes computer vision. Based on deep learning, the algorithms automatically detect a vehicle's body and analyze the extent of the damage. Paralleled machine learning and analytical pipelines speed the analysis process up to seconds to:

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Car damage recognition ML algorithms can be retrained based on the customer’s data set and delivered on-premises or as SaaS. This way, the API adapts to the specific business needs and serves as a well-integrated solution to be used in the claims automation process.

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Car Damage Recognition at work

The solution speeds up data processing, saving the company’s spendings on human resources, defending form fraud (in 80% and more), and boosting the process of image data analysis in times. The system is used on sight and guides a user on actions to meet photo requirements. Deploying Car Damage Recognition, businesses replace a human-operated time-consuming process of claims proceeding and approval with machine learning algorithms and analytical systems.

The risky and resource-consuming traditional process

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Claim submission
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Original receipt submission
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Manual data transfer
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Claim assessment
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Claim approval
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Insurance payment

Alternative: Car damage recognition solution

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Online claim submission
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Auto check and cost estimation
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Automated document workflow guided by ML system
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Insurance payment

AI-Powered damage calculator

Upload a photo of a car, get the car and its parts recognized and damage calculated. Play with the app right now!

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Who and how benefits from Car Damage Recognition

An ML system developed by Altoros reduces the time and efforts spent on human inspection and ensures smart decision-making for the following businesses:

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Insurance companies
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Car rental services
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Car repair services

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Contact us

Siarhei Sukhadolski

Siarhei Sukhadolski

Artificial Intelligence practice head

Headquarters

location icon830 Stewart Dr., Suite 119Sunnyvale, CA 94085
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