Customer takes a selfie video that TRUSTDOCK uses for verification.
Customer takes a video that captures the front, back, and side of their ID for TRUSTDOCK to verify.
Optical character recognition "reads" documents for added layer of verification, comparing ID info to that provided by the customer.
Customer must put their ID photo within a random sequence of spaces for real-time image recognition to ensure that the ID capture is occuring live and that it is not a pre-recorded video attempting to cheat the system.
Customer's face from their selfie video is analyzed and compared to images from their ID document, IC chip, and/or ID database.
Customer's selfie video is analyzed using motion and voice detection to confirm that an actual live person was the subject and not a pre-recorded video or deepfake meant to cheat the system.
Information digitally read from customer ID is compared against national identity databases.
Customer ID's IC chip is read via NFC or physical card reader for comparison against national identity databases.
Thorough cross-checking of customer's identity and potential aliases against various national and international AML, PEP, and ATF lists.
All these features are managed by TRUSTDOCK and seamlessly integrated into your system with a single API through whichever TRUSTDOCK product suits your needs best.