Frictionless Authentication Using Biometric Video Analysis
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Solution Overview
Problem
Current authentication methods in banks are time-consuming, prone to human error, and inefficient, requiring manual entry of identification and verification processes, which can lead to fraudulent activities and significant financial losses despite KYC policies and security measures.
Innovation Solution
A system for frictionless authentication and monitoring that uses biometric sensors and video capture to authenticate individuals within a bank, aggregating data from multiple sources, monitoring behaviors, and determining whether to intervene in transactions automatically, reducing the need for manual verification and enhancing security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual entry and verification of identification cards by bank staff is used, then authentication can be performed, but it requires significant staff time and effort, increases operational costs, and leaves room for human error
Solution Approach 1:
The patent replaces the manual mechanical process of staff entering and verifying identification cards with an automated optical recognition system. The system uses cameras to capture images of identification cards and biometric sensors to scan customer features, then automatically processes this data through software algorithms to verify identity without human intervention in the data entry process.
Solution Approach 2:
The system enables customers to authenticate themselves automatically through biometric scanning (facial recognition, fingerprint, or iris scanning) without requiring staff assistance. The automated system guides customers through the authentication process and independently verifies their identity against database records, making the service self-serve in nature.
2Reliability
If multiple identification methods (ID cards, PINs, passwords) are required for authentication, then security is enhanced, but the process becomes more complex and time-consuming for customers
Solution Approach 1:
The patent combines multiple authentication factors (biometric data, identification card information, and behavioral biometrics) into a single integrated authentication process. Instead of requiring customers to separately present ID cards, enter PINs, and provide passwords, the system merges these verification methods into one unified automated process that simultaneously processes all authentication elements.
Solution Approach 2:
The system employs multiple biometric authentication methods (facial recognition, fingerprint scanning, iris scanning) that can universally authenticate customers through different physiological traits. This multi-functional approach allows any customer to be verified through their preferred or most convenient biometric modality while maintaining equivalent security levels.
3Reliability
If traditional KYC policies and third-party fraud registries are used, then fraud detection capability is provided, but the system requires extensive manual processing and does not provide real-time intervention
Solution Approach 1:
The system performs preliminary authentication and fraud risk assessment automatically during customer onboarding and before transactions are initiated. Biometric templates are pre-established and stored securely, and the system pre-loads customer profiles with behavioral baselines, enabling rapid real-time verification without manual intervention during actual transactions.
Solution Approach 2:
The system continuously monitors customer behavior during transactions using biometric sensors and provides real-time feedback on transaction risk levels. If anomalies are detected (such as unusual spending patterns or behavioral changes), the system immediately adjusts authentication requirements or alerts staff, creating a closed-loop feedback system that dynamically responds to fraud risks.
4Reliability
If reimbursement processes are implemented for fraudulent transactions, then consumers are protected, but the process takes considerable time and creates financial burden on consumers during the waiting period
Solution Approach 1:
The system implements preliminary anti-fraud measures by continuously monitoring transactions in real-time and automatically blocking suspicious transactions before they are completed. The proactive authentication system detects potential fraud indicators (such as unusual locations, amounts, or behavioral patterns) and prevents the transaction from proceeding, thereby protecting consumers before any financial loss occurs rather than providing post-loss reimbursement.
Data Source
AI summary
An identity of a customer within an establishment is authenticated using a variety of captured biometric features obtained from sensors and/or video. Video capturing movements/interactions of the customer is analyzed in real time to identify the customer's behavior and actions. Any staff of the establishment who interact with the customer are identified from the video. Transaction data and other data retained for the customer by the establishment are aggregated and linked with the video and the customer identity. The linked data is analyzed in combination with the customer behavior and actions to determine responses within the establishment to customer-initiated transactions. In an embodiment, the customer is authorized to perform at least one transaction within the establishment based on the authenticated identity and linked data without a presentation by the customer of an identification card, a Personal Identification Number (PIN), a password and/or verification by a staff member.