---
title: "Model AI OCR Read & Filter Insurance card Information"
id: "11631"
type: "portfolio-case-study"
slug: "model-ai-ocr-read-filter-insurance-card-information"
published_at: "2024-08-30T09:21:37+00:00"
modified_at: "2024-08-30T09:25:37+00:00"
url: "https://hblabgroup.com/case-study/model-ai-ocr-read-filter-insurance-card-information/"
markdown_url: "https://hblabgroup.com/case-study/model-ai-ocr-read-filter-insurance-card-information.md"
excerpt: " "
taxonomy_category_industries:
  - "Finance &
Accounting"
taxonomy_services:
  - "Al Solution"
---

# Model AI OCR Read & Filter Insurance card Information

A large corporation in Japan in the field of providing business operation services, accounting – finance & real estate management.

- [Al Solution](https://hblabgroup.com/services/al-solution/)

![Model AI OCR Read & Filter Insurance card Information](https://hblabgroup.com/wp-content/uploads/2024/08/OCR-Read-Filter-Insurance.jpg)

## Challenges

The customer assigns about 200 employees the task of data entry – which is high cost, time consuming & there is still a risk of Human errors in the data entry process.

There are 2 types of documents with a large amount of information to enter: Insurance Card & Bill. They need to find a faster & more cost-effective method for this process.

## HBLAB's Solutions

**Combine** multiple AI Models to create a total solution:

1. Use **Image Processing** to re-edit the image (shooting angle, photography direction, blur, shadow)
2. Use **Object Detect** to catch the area containing the information needed
3. Read information:

- **Insurance card**: Use OCR to read

- **Bill:** Use OCR to read both print & handwriting. Use **Logo searching** to collect & classify data about suppliers information.

Customers demand to collect data that change over time and for different work purposes. As a result, HBLAB proposed different AI models to solve **changing problems**for customers

## Project details

- Used Technologies Image Processing, Object Detect, OCR, DewarpNet, Text DetectionLogo Searching
- Development Team 5 AI Engineers + 0.5 PM + 0.5 Comtor
- Duration 1 year

## Results

The logo & store name **accuracy is 93%**, the other information**accuracy is 95%-97%.**

The AI ​​model built by HBLAB helps to **save 20%** of the customer’s initial data entry, optimize costs & speed up work.

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