Face Anti-spoofing

Based on leading deep learning technology of the industry, judge if the user is an alive person in Face Recognition application and effectively withhold common attack means such as photo, face swapping, mask, shielding and copied screen

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Benefits

Leading Algorithm
Based on leading deep learning algorithm in the industry and mass data training of JD, it has leading benefits in real business application
Accurate and Reliable
Through hundreds of millions of calling business verifications of JD Mall and third-party partner manufacturers, it achieves stability, reliability and precise recognition
Simple and Easy to Use
Freely combine individual face technology module through different APIs, realizing different functions

Features

Face Detection

Detect faces in images

Detect faces in images uploaded by users

Alive Person Detection

Judge if the face is from an alive person

Judge if the user is an alive person and can effectively withhold common attack means such as photo, face swapping, mask, shielding and copied screen

Scenarios

Human and Certificate Verification

Judge if the user is an alive person and can effectively withhold common attack means such as photo, face swapping, mask, shielding and copied screen

Identity Verification for Financial Business

Where Identity Verification for Financial Business is used in combination with Face Compare, it is determined if the selfie and the registered photo of the public security system or the verified one are from the same person, for making authorization verification. It can help financial enterprises improve their risk control capacity and rapidly grant loans; meanwhile, it can improve user experiences and reduce cost

Security and Protection Verification

Under the strict security and protection scenario and in combination with Face Search API, it can effectively reduce the risk of counterfeiting and displacement through identity verification