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Case Study
Data ScienceIntelligent OCR for Utility Billing Digitization
Overview
A German utility invoicing company streamlined their billing process using an Intelligent OCR solution, increasing form processing throughput by 60% and achieving over 90% accuracy. The system leveraged advanced Computer Vision and Deep Learning models to automate form classification, data extraction, and validation while providing a secure and scalable cloud-based infrastructure.
About the Client
A German utility invoicing company handling various utilities' usage information through paper forms.
The Challenge
The company faced several challenges in its manual form processing:
- Time-consuming and error-prone manual data entry from paper forms into the central system.
- Lack of scalability in processing increasing volumes of forms.
- Need to identify different form types after scanning.
- Dealing with tilted or rotated scanned forms.
- Accurately mapping extracted text to specific form fields.
- Requirement for human override capability to correct digitization errors.
- Achieving over 90% accuracy while maintaining high availability and performance.
Key Results
- Increased form processing throughput by 60%
- Reduced manual data entry errors by 85%
- Achieved over 90% accuracy in automated form digitization
Our Solution
JashDS implemented a comprehensive Intelligent OCR solution to automate the utility billing process:
- Developed a Computer Vision model for form classification:
- Trained on tagged form images to identify the correct form type from scanned images.
- Implemented Intelligent OCR capabilities:
- Extracted both printed and handwritten text from forms.
- Accurately mapped extracted text to corresponding form fields.
- Created a structured database for storing extracted data:
- Designed to efficiently store and retrieve processed form information.
- Built a web interface for human operators:
- Allowed side-by-side viewing of original scanned forms and OCR-processed data.
- Enabled operators to correct and override OCR results when necessary.
- Deployed a secure and scalable infrastructure:
- Utilized Google Cloud Platform (GCP) for hosting the solution.
- Implemented a secure VPC network with authorized access only.
- Designed for dynamic scaling based on system load.
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Technologies Used
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