Module 8 – Computer Vision (How AI Sees!)
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Emoji Detectives & Reading Faces 😊😢

How AI detects faces, recognises who you are, and even reads your emotions

Emoji Detectives & Reading Faces 😊😢

Face Detection vs Face Recognition

These sound the same but they're different!

Face DETECTION: "There is a face in this image" 👤 (Doesn't know WHO it is) Face RECOGNITION: "That face belongs to Alex Smith" 👤 = Alex (Identifies the specific person)

😮 Emotion AI: Reading Your Feelings

AI can analyse micro-expressions (tiny face movements) to detect emotions!

| Expression | AI looks for | |-----------|-------------| | 😊 Happy | Corners of mouth raised, eyes slightly squinted | | 😢 Sad | Eyebrows pulled together and down, lower lip out | | 😮 Surprised | Eyebrows up, eyes wide, mouth open | | 😠 Angry | Eyebrows pulled down in middle, jaw tight |

Some companies use emotion AI in:

  • Advertising: Do people REALLY like the advert?
  • Market research: What faces do people make at different prices?
  • Gaming: Does the game make you frustrated or happy?

🎭 How Disney Uses Computer Vision

Disney uses AI cameras in cinemas to monitor 4,000 faces at once — tracking smiles, laughs, and gasps during films. This helps them understand which scenes are most emotional!

📱 Portrait Mode Magic

When your iPhone takes a portrait photo with the blurry background effect:

  1. AI detects the person vs the background
  2. Creates a "depth map" — understanding what's close vs far
  3. Applies blur ONLY to background pixels
  4. Updates in real-time as you move

All done by AI, in a fraction of a second! 📸

😂 When Face AI Goes Wrong

The Microsoft Xbox Kinect Problem (2010): The Kinect body-tracking system worked less well for users with darker skin tones because the training data didn't have enough diverse examples.

The Sunglasses Problem: Many early face recognition systems could be fooled by — sunglasses! Just glasses confused them completely. 🕶️

These failures drove researchers to improve with more diverse training data!

💡 Privacy Thought

If a shop's camera recognised your face and knew you'd visited before, is that helpful or creepy?

This is a real debate happening right now about how computer vision should be used in public spaces. What do YOU think? 🤔

Quick check

01/2

What is the difference between face detection and face recognition?