Al-Based Fake Identity & Document Screening System

Official description

• 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.