Who should use the Perform facial recognition workflow?
Teams or solo builders working on security & privacy tasks who want a repeatable process instead of one-off tool experiments.
Execution Map
4-step pipeline — follow each step in order
1Setup · Step 1 of 4
Open task pageCore Recognition
Capture a face image and run facial recognition to identify or verify the subject against a known database, ensuring accurate match.
Why this matters
This is the primary step that accomplishes the main goal of identifying or verifying a person using facial features.
What you get
A facial recognition result (match or non-match) is produced, ready for further validation.
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2Input · Step 2 of 4
Open task pageLiveness Check
Analyze the captured face to confirm it is from a live person and not a photo or video replay, preventing spoofing attacks.
Why this matters
Liveness detection adds a critical security layer to ensure the face is real and present, reducing fraud risk.
What you get
The face is verified as live, and the recognition result is deemed trustworthy for identity verification.
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3Refine · Step 3 of 4
Open task pageDeepfake Detection
Scrutinize the face image for signs of deepfake manipulation, such as AI-generated artifacts, to ensure the image is authentic.
Why this matters
Detecting deepfakes ensures the input image has not been tampered with, protecting against sophisticated identity fraud.
What you get
The face image is cleared of deepfake indicators, confirming its authenticity for final identity verification.
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4Deliver · Step 4 of 4
Open task pageIdentity Verification
Use the validated facial recognition result to officially verify the user's identity, linking the face to a known identity record.
Why this matters
This step completes the workflow by confirming the person's identity, enabling access or authorization decisions.
What you get
The user's identity is verified and the result is ready for downstream use (e.g., granting access).
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