Metadata & Specs
Organization
Ministry of Home AffairsDepartment
Sashastra Seema Bal (SSB), Police II Division
Category
Software
Theme
Miscellaneous
Deadline
20 September 2026
Submitted ideas
0/500
Problem Description & Statement Details
- 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.
Similar Problem StatementsSame Theme or Organization
Ministry of Home Affairs · Software · Deadline 20 September 2026