Tech Stack
- Google Vision
- Python
About Client
The client, a leading Philippines financial services provider, believes in prioritizing customer service using technology.
About Product
The client was keen to completely automate its KYC process of digitizing and extracting text from customers for perfect data accuracy and efficiency in document processing. Their objective was to automate data extraction from over 65,000 accounts by scanning and mapping customer data with a selfie. Brainvire combined OCR technology with Open Source solution for data accuracy and improved document processing efficiency.
ID and Facial Scanning:
The client wanted to scan large volumes of at least 65,000 accounts documents
Brainvire implemented a Lambda function and the necessary server architecture for a smooth data capture.
Solution
The Challenges
Result
- Scanned documents for 65K customer accountsSeamless data migration with facial scan that mapped scanned data to automate its KYC documentation process.
- Faster Document Processing With AccuracyThis helped in accurately processing KYC details with verified mapping of selfie with the actual customer’s ID photo.
- Automated extracting text from official documentsBrainvire helped reach a near 100% for accurately scanning both printed and handwritten text from documents
- Image comparison from client side without storing in databaseWe first stored the base-64 encoded format in a temporary variable and decoded it using the NumPy module for accurate image comparison