Al-Based Fake Identity & Document Screening System

• •Background Common challenges faced at border checkpoints:
• •Fake passports and visas
• •Altered photographs
• •Modified dates of birth
• •Tampered visa stamps
• •Identity impersonation
• •Multiple identities used by the same person Expired or blacklisted travel documents
• •High passenger volume causing delays Current verification methods rely heavily on human inspection and basic database lookups.
• •Detailed Description Border checkpoints process thousands of identity documents every day,including passports, visas, national identity cards, permits, and travel authorizations. Manual verification is time-consuming, prone to human error, and often unable to detect sophisticated forgeries, tampering, or identity fraud.Develop an Al-powered document screening platform that automatically analyzes identity and travel documents, detects signs of tampering or forgery, validates information against rules and databases,and generates a risk score to assist border security personnel in making faster and more accurate decisions.
• •Expected Solution
• •Module 1: OCR Extraction
• •Module 2: Document Validation
• •Module 3: Tampering Detection
• •Module 4: Face Detection Module 1: OCR Extraction Objective: Automatically extract all relevant information from identity documents.

Inputs

• •Passport image
• •Visa image
• •National ID image
• •Driving license
• •Permit documents Extracted Fields:

Passport

• •Name
• •Passport Number
• •Nationality
• •Date of birth
• •Date of expiry
• •Gender Visa
• •Visa Number
• •Visa Type
• •Entry Validation
• •Stay Duration Module 2: Document Validation Objective: Verify whether the extracted information follows official document standards.

Module 3: Tampering Detection (Core AI Innovation) Objective: Detect digitally or physically altered documents.

Use Cases

• •Photo Replacement
• •Text Manipulation
• •Stamp Forgery Detection
• •Image Metadata Analysis Module 4: Face Verification Objective: Ensure document owner matches the presented individual.
• •Expected Impact
• •Reduce document verification time from several minutes to a few seconds.
• •Improve detection of forged and tampered documents.
• •Standardize screening decisions across checkpoints.
• •Enable data-driven risk assessment instead of purely manual inspection.
• •Create a digital trail for investigations and intelligence analysis.

Possible Project Name Al-Based Fake Identity & Document Screening System.