How Square Uses Your Phone's Location to Verify Credit Card Payments
A system that uses GPS data from a customer's smartphone to confirm they are physically present at a store during a credit card transaction to reduce fraud.
Patent Number
US 10198731
Status
Active
Filing Date
February 18, 2014
Grant Date
February 5, 2019
Expiration
~February 2034 (estimated)
Claims
21
Assignee
Square Inc
Inventors
Shawn Morel, Nathan Spindel, Nefaur Rahman Khandker
Citations
9 forward · 309 backward
What it covers
This patent describes a method for verifying that a customer is actually at a merchant's store when they use their credit card. The system first calculates the approximate location of a card reader by aggregating GPS data from many customers' phones who have previously shopped there. When a new transaction occurs, the system pings the customer's phone to get its current GPS coordinates at the exact moment the card is swiped. By comparing the phone's location to the established location of the card reader, the system determines if the customer is truly present, which allows the merchant to skip extra fraud checks.
What it doesn't cover
- —Does not cover fraud detection methods that rely solely on card-present indicators without GPS verification.
- —Does not cover systems that track location using Bluetooth beacons or Wi-Fi triangulation instead of GPS.
- —Does not cover transactions where the customer's mobile device is not linked to their payment card in the merchant's database.
- —Does not cover the physical design or internal circuitry of the card reader itself.
The clever bit
Instead of relying on the merchant to manually report their location, the system 'crowdsources' the location of the card reader by analyzing the GPS history of many different customers, creating a reliable map of where the reader actually lives.
Why it matters
This technology helps merchants like those using Square's platform reduce 'false positives' in fraud detection. By confirming the customer is physically present, the system can approve transactions faster and with less friction, which is vital for small businesses that cannot afford to lose a sale due to an overly cautious automated security system.
Real-world examples
- 1.Square Point of Sale systems
- 2.Mobile payment apps with integrated fraud detection
- 3.Contactless payment systems using geofencing
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US 10198731 · 2026