Mobile Insurance Claims Processing

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Training Data

Accuracy90%

Precision0.99

Recall0.8

Response Time3 s

What does the model do

Get results about image quality and validity, automatically read IMEI numbers on the screen, detect mobile screen damage with severity levels and metrics about fraud possibilities.

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How you can customize

get models tailor-made for the kind of fraud your company faces the most or most-frequent as well as less frequent damages.

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The Nanonets Process

How to build your own custom model

Create

Upload

Annotate

Integrate

Begin the process by adding the categories of text you want to detect
Upload 50 images of each text category you want to digitize
Annotate your images by drawing bounding boxes around the text and typing out the characters
Training your model takes 1-2 hours and you will be notified once it’s done

Why Nanonets?

No manual setup

Nanonets OCR generalizes across many invoice formats. As opposed to traditional OCR technologies which require a lot of manual tooling and template creation, reduce post processing and turn around times.

Consistent

Cut down the manual inspection time from hours to seconds using AI-powered automation. Analyze each image in milliseconds, maximizing the time for taking corrective measures which can also help increase throughput.

On-Premise

Deploy trained models on-prem using Docker images ensuring that your data does not have to leave your network or deploy models on our production optimized cloud instances for maximum performance.

Case Studies

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Mobile Insurance
Make claims processing easier by automating damage assessment and fraud detection with Nanonets.
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