Facial Recognition: How to Train Models and Keep Improving Over Time
Executive Summary Incode’s facial recognition technology is designed for accurate and fast identification/verification of a person’s identity based on facial images, without the need for physical document checks or human intervention. It ensures high recognition accuracy regardless of gender, age, race, or environmental conditions during capture. Despite challenges related to image quality in documents due […]
Superintelligent AI: Why Incode’s Proprietary AI Surpasses Humans in Detecting Identity Document Fraud.
Why ML-based document verification is better Detection of fraudulent identity documents is an extremely difficult task for human beings for several reasons: Besides, document verification is even more tiring as it requires multitasking in checking dozens of different security features simultaneously for the occurrence of fraud signals in a document. And people are not generally […]