mirror of https://github.com/vladmandic/human
1.3 KiB
1.3 KiB
Human Face Recognition: FaceID
faceid runs multiple checks to validate webcam input before performing face match
Detected face image and descriptor are stored in client-side IndexDB
Workflow
- Starts webcam
- Waits until input video contains validated face or timeout is reached
- Number of people
- Face size
- Face and gaze direction
- Detection scores
- Blink detection (including temporal check for blink speed) to verify live input
- Runs
antispoofingoptional module - Runs
livenessoptional module
- Runs match against database of registered faces and presents best match with scores
Notes
Both antispoof and liveness models are tiny and
designed to serve as a quick check when used together with other indicators:
- size below 1MB
- very quick inference times as they are very simple (11 ops for antispoof and 23 ops for liveness)
- trained on low-resolution inputs
Anti-spoofing Module
- Checks if input is realistic (e.g. computer generated faces)
- Configuration:
human.config.face.antispoof.enabled - Result:
human.result.face[0].realas score
Liveness Module
- Checks if input has obvious artifacts due to recording (e.g. playing back phone recording of a face)
- Configuration:
human.config.face.liveness.enabled - Result:
human.result.face[0].liveas score