Tech Support Forum banner
1.3K views 4 replies 5 participants last post by  Charlie1991  
#1 ·
Hello techies,

Some help would be so appreciated. We are building a web app and trying to figure out how we implement this critical step:

We need our customers to use a QR code to upload a verification doc with specific criteria. We need to have this doc verified automatically by our system, whatever that might be. So it's important that only receipts or docs containing the prescribed criteria are allowed to be accepted. If there is a piece of info missing, it will be rejected and the missing piece highlighted.

Can anyone tell me how to do this please?

Thanks in advance
 
#4 ·
Here's an outline of the steps you might consider taking:

1. User Interface (Front-End):
  • Create a user interface where customers can initiate the document upload process by scanning a QR code.
  • Allow users to select or capture images of the documents they want to upload.
2. QR Code Generation:
  • Generate QR codes that are unique for each user or transaction. You can use libraries like qrcode in Python or various online QR code generators.
3. Document Upload:
  • When users scan the QR code, they should be directed to a web page or app screen where they can upload their verification documents.
4. Document Criteria:
  • Define the criteria that the verification document should meet. This could involve file type (PDF, image), size, specific text, watermark, or any other identifying features.
5. Front-End Validation:
  • Implement client-side validation to ensure that users are uploading documents that meet the specified criteria before submitting the form.
  • Highlight missing information or criteria in the UI to guide users on what's required.
6. Back-End Processing:
  • Build a back-end system (using a programming language like Python, Java, PHP, etc.) to handle the uploaded documents and verification process.
  • Use libraries for image processing and text extraction (such as OpenCV and Tesseract) to extract relevant information from the documents.
7. Document Verification:
  • Analyze the extracted information from the uploaded document to verify if it meets the prescribed criteria.
  • You might use regular expressions or specific algorithms to match the required information.
8. Verification Outcome:
  • Notify the user about the verification outcome through the UI.
  • If the document is verified successfully, store relevant data in your database.
  • If the document does not meet the criteria, provide feedback to the user about which part is missing or incorrect.
9. Security and Privacy:
  • Implement security measures to protect user data and documents during transmission and storage.
  • Ensure compliance with data protection regulations.
10. Monitoring and Improvements:
  • Continuously monitor the performance of your document verification system.
  • Analyze any rejected documents and reasons for rejection to improve the system's accuracy.
 
This post has been deleted