Emotion-recognition/biometric-categorisation system without notice to exposed persons

Show people a notice that emotion recognition or biometric categorisation is running before the analysis touches their face, voice, or video, and gate the analysis on it.

A notice gate in the module that calls the emotion or categorisation model (DeepFace.analyze with actions=['emotion'], FER().detect_emotions, Hume expression measurement, Rekognition detect_faces with Attributes=['ALL']). For app flows, an interstitial tells the person the system is operating, what it infers, and why, and the analysis function refuses to run until that acknowledgment is recorded for the session. For cameras or kiosks that analyse passers-by, the deployment config names the on-screen banner or physical signage at the capture point, and the pipeline does not start for a site with no notice configured.

Where it goes: 1 application source code, 3 config and feature flags, 14 user-facing text.

What reviewers look for: in the file that calls the emotion or categorisation model, a notice or signage check (notice_shown, inform_subjects, signage config) that is read before the call and stops it when missing, plus notice copy that actually reaches the exposed person at or before capture; not only a privacy-policy paragraph.

def analyse_frame(frame):
    result = DeepFace.analyze(img_path=frame, actions=['emotion'])
    return result[0]['dominant_emotion']

def analyse_frame(frame, session):
    # notice shown in the capture UI; acknowledgment stored per session
    if not session.get('emotion_notice_shown_at'):
        raise NoticeRequired('inform the person that emotion recognition is running')
    result = DeepFace.analyze(img_path=frame, actions=['emotion'])
    return result[0]['dominant_emotion']

Engineering guidance, not legal advice. Each provision below may add its own details (a cadence, a deadline, a required notice element): open it for those.