Software Engineering
- Services
Services
Resource AugmentationDesign & BrandingInfrastructureMarketingSoftware EngineeringResource AugmentationDesign & BrandingInfrastructureMarketing - Solutions
Solutions
ERP & Business OperationsHRMS & WorkforceSales, CRM & CommerceDigital Experience & MarketingTrending AppsERP & Business OperationsHRMS & WorkforceSales, CRM & CommerceDigital Experience & MarketingTrending Apps - Technology
Technology
Microsoft TechnologyData, AI & AnalyticsOpen Source & WebMobile TechnologiesEnterprise PlatformsCloud & DevOpsQA & Testing TechnologiesMicrosoft TechnologyData, AI & AnalyticsOpen Source & WebMobile TechnologiesEnterprise PlatformsCloud & DevOpsQA & Testing TechnologiesAI/MLEnterpriseFrontendBackendMobileDatabaseInfra & DevOpsEmerging TechnologiesAI/MLEnterpriseFrontendBackendMobileDatabaseInfra & DevOpsEmerging Technologies - Industry
- About
About
About UsBlogsCase Studies
Silwatech is backed by a team of 1000+ employees, serving clients in over 10+ industries across 9+ locations
AI-Powered Video KYC with Document Authentication, Hologram Detection and Liveness Verification
Case Study Topics
Client Overview
The end client is a banking institution seeking to provide secure remote onboarding for new customers, including individuals with no previous in-person relationship with the bank.
The organisation required an AI-enabled identity-verification process that could reduce dependence on branch-based document checks while maintaining strong fraud-prevention, compliance, and audit controls.
The end client’s identity is withheld due to contractual confidentiality and NDA obligations.
Project Overview
The project involved the development of an AI-powered video KYC platform for remotely verifying customer identities during digital onboarding.
The solution was designed and developed by a SilwaTech partner company through SilwaTech’s partner delivery ecosystem.
The platform covered
- Passport and visa data extraction
- Document-structure validation
- Hologram and security-feature detection
- Gaze-based liveness verification
- Face-to-document comparison
- Anti-spoofing controls
- Signed onboarding-record generation
- Workflow escalation for uncertain cases
The verification flow combined automated AI checks with human oversight. Applications that could not be verified confidently were directed to an authorised reviewer rather than being approved or rejected solely by the automated system.
Business Challenge
- The existing customer-onboarding process depended heavily on manual and branch-based verification.Key challenges included
- Identity documents being inspected manually by branch employees
- Limited assurance that the individual completing verification was physically present
- Delays caused by manual verification and review queues
- Exposure to spoofing using photographs, recordings or replayed videos
- Wide variations across passport and visa formats
- Difficulty identifying manipulated documents and security features
- Need to retain clear evidence of every verification decision
- Requirement to escalate uncertain cases without blocking legitimate applicants
The client needed a secure video-based KYC process capable of authenticating identity documents, confirming liveness, matching the applicant to the document and directing doubtful cases to authorised human reviewers.
Solution Architecture
Solution Delivered
Document Authentication and OCR
Computer vision and optical character recognition were used to extract and validate information from identity documents presented during the video session.
Key capabilities included
- OCR extraction from passports and visas
- Validation of document structure and layout
- Authentication across different passport and visa formats
- Detection of optical holograms
- Identification of document security features
- Comparison of extracted information with onboarding data
- Flagging of inconsistent or potentially manipulated documents
Liveness Verification and Face Matching
The solution incorporated biometric controls to confirm that the applicant was a real person participating in the verification session.
Capabilities included
- Gaze-based liveness verification
- Detection of photograph and replay-video attacks
- Face capture during the live verification session
- Comparison of the applicant’s face with the document photograph
- Anti-spoofing checks across the verification journey
- Confidence scoring for biometric comparisons
- Escalation where verification confidence fell below defined thresholds
Onboarding Records and Review Workflow
A controlled workflow was implemented to maintain evidence of every automated and manual verification activity.
The platform provided
- Generation of a signed PDF onboarding record
- Logging of individual verification checks
- Recording of document and biometric results
- Traceable verification outcomes
- Escalation of doubtful cases to authorised reviewers
- Human approval or rejection of uncertain applications
- Retention of supporting evidence for audit and compliance review
Technology Stack
The technology environment included
- Computer vision models for document authentication
- OCR for passport and visa data extraction
- Deep-learning models for hologram and security-feature detection
- Gaze-based liveness verification
- Facial recognition and face-matching models
- Anti-spoofing detection
- Video capture integrated with the onboarding journey
- Workflow automation for review and escalation
- PDF generation for signed onboarding records
- Secure logging and evidence management
Engagement Model
The project was delivered through SilwaTech’s partner ecosystem under a partner-led implementation model.
The solution architecture, model development, integration, testing, and technical implementation were performed by an experienced SilwaTech partner company. SilwaTech contributed through engagement alignment, partner collaboration, and coordination of the required document AI, biometric verification, and security capabilities.
The delivery team included specialists in
- Computer vision engineering
- Biometric identity verification
- Applied AI research
- Backend and product engineering
- Video-processing integration
- Workflow and record-management integration
- Quality assurance and security testing
Delivery was organised into four stages
- Analysis of KYC requirements, onboarding workflows and fraud scenarios
- Training and validation of document-authentication models across passport and visa formats
- Configuration and testing of liveness and facial-matching capabilities
- Implementation of signed onboarding records, human-review workflows and controlled release
The identities of the end client and implementation partner remain confidential. SilwaTech does not represent itself as the direct contracting party or sole technical implementer for this engagement.
Security and Governance Focus
Identity documents, biometric information, and video recordings require strong security, privacy, and governance controls.
Key areas of focus included
- Encryption of documents, videos and onboarding records in transit and at rest
- Role-based access to verification information
- Controlled access to human-review functions
- Logging of every automated and manual verification activity
- Signed onboarding records supporting audit review
- Human oversight for uncertain verification outcomes
- Anti-spoofing protection against photographs and replayed videos
- Secure retention and handling of identity evidence
- Alignment of the verification process with the bank’s KYC requirements
These controls enabled remote customer onboarding while maintaining traceability, fraud resistance and human accountability.
Value Delivered
The reported outcomes included
- 65% faster customer onboarding
- Remote identity verification replacing mandatory branch-based checks
- Automated passport and visa information extraction
- Detection of optical holograms and document security features
- Improved protection against photograph and replay-video spoofing
- Liveness confirmation that a real person was participating
- Automated face-to-document comparison
- Signed and auditable onboarding records
- Human oversight of doubtful verification cases
- A scalable foundation for secure digital customer onboarding
Why Silwatech
This engagement demonstrates the type of regulated identity-verification capability SilwaTech can support through its technology partner ecosystem, including
Access to specialists in document AI and biometric verification
Experience with computer vision and identity-document processing
Strong emphasis on anti-spoofing and fraud-resistant design
Human-in-the-loop controls for regulated decisions
Secure and traceable verification workflows
Ability to support different deployment and data-residency requirements
Structured collaboration with specialised implementation partners
Selected Enterprise & Public Sector Experience
Our project experience spans government authorities, regulated enterprises, and major organisations across multiple industries.
References shown may include direct SilwaTech engagements and work delivered through our contracted partner network. Inclusion does not imply a direct contractual relationship with, or endorsement of, SilwaTech.
Let’s Start the Conversation
Engage with our enterprise team to discuss your digital transformation goals, platform modernization initiatives, or large-scale system requirements. We’re ready to support your next strategic technology move.
UAE (HQ)
Al Shoala Bldg, E Block, 4th Floor, Deira City Center, Dubai, UAE
INDIA
401, One World West, Nr. Ambli T-Junction 200,S P Ring Road, Bopal, Ahmedabad, Gujarat 380058, India
France
74 boulevard du, 11 novembre 1918 69100 villeurbanne
South Africa
Sales and Delivery Support
United Kingdom
Sales and Delivery Support