Network Age Verification via Photo ID and Database Cross-Check
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Solution Overview
Problem
Existing e-commerce systems lack an efficient method for verifying the age of customers during online transactions for age-restricted products and services, such as tobacco, alcohol, and adult-oriented websites, as they rely on face-to-face identification processes that are not applicable in remote online environments.
Innovation Solution
A network-based age verification method that uses a client computer to store customer data, interacting with a merchant computer and a verification computer to check age information against databases and, if necessary, utilize photo identification and computer vision to confirm the customer's age, with optional SMS confirmation and e-signature steps to ensure accuracy and security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional face-to-face identification methods are used for age verification, then age threshold compliance is ensured, but the transaction process becomes complex and time-consuming for online customers
Solution Approach 1:
The patent uses digital copies of identification documents (photographs of driver's licenses, passports, or state IDs) uploaded by customers through their mobile devices. The system extracts and verifies data from these digital copies including photo images, names, dates of birth, and security features, replacing the need for physical in-person identification presentation while maintaining verification accuracy
Solution Approach 2:
The patent introduces a third-party verification service as an intermediary between the merchant and customer. This service provider hosts the verification platform, processes identification documents, checks against multiple data sources (government databases, credit bureaus, social media), and returns verification results to the merchant, thereby simplifying the merchant's system requirements while ensuring reliable age verification
2Reliability
If multiple verification steps including photo ID upload and database searching are implemented, then fraud prevention is improved, but the time required for age verification increases
Solution Approach 1:
The patent performs preliminary actions by pre-populating customer information (names, dates of birth, addresses) from the uploaded identification document into the verification form before submission. The system also pre-checks multiple databases simultaneously using the extracted information, and pre-validates security features of the ID document, so that when the final verification result is needed, the majority of the verification work has already been completed
Solution Approach 2:
The patent implements continuous verification processes by simultaneously checking multiple data sources (government databases, credit bureaus, social media platforms) in parallel rather than sequentially. The system continuously validates multiple aspects of the identification document (photo image quality, security features, data consistency) throughout the upload and processing stages, eliminating idle time between verification steps
3Ease of operation
If a simple age input field is used for verification, then the process is quick and easy for customers, but the system cannot reliably verify the customer's actual age
Solution Approach 1:
The patent implements feedback mechanisms where the system automatically compares the date of birth extracted from the identification document with the date of birth entered by the customer in the verification form. If there is any discrepancy, the system flags the verification as failed and requests re-upload or correction. The system also provides feedback on the quality of the uploaded photo image and whether security features are detectable, guiding the customer to provide better quality documentation
Data Source
AI summary
A method whereby the date of birth (age) of a customer engaging in e-commerce over the Internet is verified. The present invention is launched from a merchant's website when an age sensitive transaction—alcohol or tobacco purchase, access to an adult web site, etc.,—is being undertaken. The system first checks to see if the customer is a known entity with a known date of birth. If the customer is not appropriately known to the system, then the system checks public records from information supplied to the system by the customer. If the date of birth is still unknown after such a check, the customer uploads an image of photo identification which is checked for date of birth either via software and also a selfie holding the identification. Optional SMS code verification can be undertaken. E-signatures can be optionally collected. Once the date of birth is known, the transaction is approved or denied based on the totality of the facts of the transaction.