Assisted Image Capture (AIC) utilizes machine learning to identify and mitigate the most common verification errors, with the aim of increasing conversion and accuracy concurrently.
AIC is designed to guide users through the verification process, adjusting and highlighting errors to increase successful verifications.
Veriff uses machine-learning technology to assess client sessions in real time and to guide users during the photo capture process. Clear and actionable user feedback due to poor lighting, glare, cropped ID, and obstructed facial images are just a few examples of how Assisted Image Capture pre-validates images and boosts first-time pass rates.
The user is asked to take a simple selfie and Veriff's Assisted Image Capture lets them know immediately if there is something wrong with the image to ensure success on the first try.
Get in touch with a Veriff expert to learn more about how Assisted Image Capture can help make your identity verification process simpler for genuine users.
Veriff is compliant with CCPA/CPRA, GDPR, SOC2 type II, ISO 27001, and WCAG Accessibility Guidelines.