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Face Recognition AI is a type of computer vision that identifies and analyzes human faces
in images or videos. It plays a crucial role in security systems, biometric authentication,
and emotion detection.
IMPORTANCE AND APPLICATIONS OF FACE RECOGNITION AI
Face Recognition AI is used in:
Smart security systems (Face unlock on smartphones).
Retail and marketing (Analyzing customer emotions for targeted ads).
Healthcare (Detecting stress and emotions for mental health tracking).
Scan the QR code to get a detailed insight on Facial Recognition AI.
WHY FOCUS ON FACE RECOGNITION?
Human Interaction: Most human communication is visual—AI can help robots understand
faces, emotions, or identity.
Widespread: From phones unlocking via Face ID to crowd monitoring, face recognition is one
of the most common AI vision applications.
AI FOR ROBOTICS
Perception: Allows a robot to interpret its surroundings beyond basic sensors.
Autonomy: Robots can respond to human presence, gauge emotions, or tailor interactions
accordingly.
Enhanced User Experience: A machine that recognizes or reacts to facial expressions feels
more engaging.
ROLE OF AI IN DETECTING HUMAN EMOTIONS
AI analyzes facial expressions by identifying key features like:
Smile Happiness
Frown Sadness
Raised eyebrows Surprise
HOW FACIAL FEATURES ARE ANALYZED TO DETECT EMOTIONS
AI scans and compares facial landmarks, such as eye position, mouth curvature, and eyebrow
movements, to determine emotions.
Introduction to AI & Machine Learning 135

