AI-eye in Augmented Reality
summary
A pipeline converts camera frames into real-time emotional overlays: a CNN from scratch classifies faces into seven emotion classes (angry, disgust, fear, happy, sad, surprise, neutral) using flips/rotation/crop augmentation and optional GAN synthesis, reaching good accuracy but misclassifying nonfrontal faces; a claim: viewing one hour of social photos would take a person 10 years, illustrating the data scale; models are condensed for edge deployment with TensorFlow Lite/Core ML and rendered via ARCore and ARKit for live AR effects.
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chapters (8)
- 0:00Introduction to AI and AR
- 3:14AI and deep learning basics
- 6:21Emotion classification use case
- 14:13AI and AR convergence
- 16:46Neural network evolution
- 20:17AR hardware and devices
- 22:01AI-AR application integration
- 25:11Applications and benefits
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