Build a Face-Based Age Verification System with API
This tutorial demonstrates how to build an age verification system using a face analysis API. The system can quickly estimate a user's age from a selfie, without requiring ID document uploads.
Why it matters
Face-based age verification can streamline the onboarding process for age-restricted products and services, improving user experience while still meeting legal requirements.
Key Points
- 1Age-restricted products need a way to verify customer age
- 2Face-based age estimation is faster than document verification
- 3The API detects faces, analyzes features, and returns an age range
- 4The app checks if the lower bound of the age range meets the legal threshold
Details
Many age-restricted products and services, such as alcohol delivery, online gambling, and social platforms, require age verification by law. Most solutions rely on ID document uploads, which creates friction for users. This tutorial shows how to build a faster age verification system using a face analysis API. The user takes a selfie, and the API detects the face, analyzes facial features, and returns an estimated age range (e.g., 25-35). The app can then check if the lower bound of the age range meets the legal threshold (18, 21, etc.). This approach is more convenient than document verification, works on any device with a camera, and does not require storing biometric templates. The API returns detailed facial analysis data, including gender, emotions, and whether the person is wearing glasses or sunglasses.
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