- Case Studies
greenID’s cutting-edge facial biometric verification technology helps to ensure the individual submitting the application using the device is the same person identified on the presented document.
Face match analyses the facial biometric data on the captured selfie image and compare against the photograph on the presented ID (such as a driver’s licence photo) in real-time to check if it is a match. . At the same time, passive liveness detection performs a liveness check to ensure the selfie image is of a real person and not from a photograph or video display.
Our unique passive liveness detection technology is capable of detecting liveness based on the captured selfie at the same instance, without the need for additional gestures or video capture. The result is a swift and truly frictionless customer onboarding experience.
Biometric verification not only helps to enhance remote identity verification process, it also acts as a fraud deterrent.
Perform face match and liveness check using the same image eliminating requirement for additional user actions or gestures.
Biometric algorithms recognise natural changes, such as facial hair, skin, hairstyle, makeup and slight ageing.
Achieved through combination of unique deep neural network machine learning and calibrated real-world data analytics.
Integrate to both web and native mobile apps via code package or Software Development Kit (SDK).
Native mobile SDK supports both Android and iOS apps.