- Natural Conversation: Talks like a real AI assistant, not robotic responses
- Visual Context Understanding: Combines what it sees with what you say
- Learning & Adaptation: Gets smarter with each interaction
- Proactive Suggestions: Makes helpful suggestions based on your behavior
- Multiple AI Personalities: 4 different interaction styles
- Multi-Person Analysis: Can track and analyze multiple people
- Scene Understanding: Recognizes different environments and contexts
- Object Detection: Identifies books, screens, plants, and more
- Advanced Emotions: 5+ emotions with confidence levels
- Enhanced Gestures: 10+ gesture types with position tracking
- Attention Tracking: Monitors focus and engagement levels
- Intelligent Assistant - Helpful, accurate, professional
- Creative Companion - Imaginative, exploratory, artistic
- Analytical Observer - Detailed, insightful, scientific
- Friendly Helper - Warm, supportive, casual
python test_gemini_advanced.pyfrom engine.gemini_advanced_vision import (
start_gemini_advanced,
stop_gemini_advanced,
is_gemini_active,
get_gemini_status
)
# In your main command processor:
def process_command(user_input):
if "start vision ai" in user_input.lower():
result = start_gemini_advanced()
speak(result)
elif "stop vision ai" in user_input.lower():
result = stop_gemini_advanced()
speak(result)- You: "What do you see?"
- AI: "I can see you're in a computer workspace. I notice a screen and keyboard, you appear focused with 85% attention level. The lighting suggests you're working during daytime. What would you like to explore?"
- You: "How do I look?"
- AI: "You look happy with 92% confidence. Your attention level is 78%, and you appear engaged and focused. You have a wonderful, bright expression!"
- You: "What am I doing?"
- AI: "I can see you're making a thumbs up gesture with your hand positioned in the center area. That's a clear and recognizable gesture! You seem to be in a positive mood."
- You: "Analyze my environment"
- AI: "Based on my analysis: I can identify 3 objects including a screen and keyboard, your emotional state appears happy, you're in what looks like a computer workspace. This suggests you're likely working on a computer. What would you like to know more about?"
- "Hello, what do you see?" - Complete scene analysis
- "How do I look today?" - Detailed appearance feedback
- "What am I doing?" - Activity and gesture recognition
- "Analyze my environment" - Full scene breakdown
- "Change AI mode" - Switch personality modes
- "Help me focus" - Attention and productivity tips
- "Tell me something interesting" - Creative observations
- Q - Quit system
- C - Capture frame and provide detailed analysis
- M - Cycle through AI personality modes
- P - Toggle proactive suggestions on/off
- Tracks your interaction patterns by time of day
- Learns your emotional patterns
- Adapts responses based on your preferences
- Remembers conversation history (last 100 interactions)
- Suggests breaks when attention is low
- Notices when you look tired
- Offers help during high engagement periods
- Provides time-based suggestions (afternoon energy boost, etc.)
- Remembers recent visual contexts
- Builds understanding of your environment over time
- Tracks changes in your setup or mood
- Computer Workspace: Recognizes work environments
- Study Area: Identifies reading/learning setups
- Busy Workspace: Detects cluttered or active areas
- General Room: Basic room recognition
- Natural Conversation: Responds like a real AI, not scripted answers
- Visual Understanding: Combines vision with conversation seamlessly
- Context Awareness: Remembers what it sees and relates it to conversation
- Intelligence: Provides insights, analysis, and helpful suggestions
- Personality: Has different modes and adapts to your style
- Learning: Gets better at helping you over time
- Proactive: Makes suggestions without being asked
- MediaPipe: 468-point face landmarks, advanced hand tracking
- Real-time: 30 FPS processing with deep analysis every 10th frame
- Multi-target: Can track multiple people and hands simultaneously
- Scene segmentation: Advanced background/foreground analysis
- Context-aware responses based on visual input
- Conversation memory with visual context
- Learning system that adapts to user patterns
- Proactive suggestion engine
- Optimized for real-time interaction
- Error recovery and stability features
- Multi-threaded processing (vision, audio, AI, proactive)
- Run the test:
python test_gemini_advanced.py - Try natural conversation: "Hello, what can you see?"
- Test different emotions: Smile, frown, look surprised
- Try gestures: Wave, thumbs up, peace sign, pointing
- Change AI modes: Press 'M' to try different personalities
- Enable proactive mode: Press 'P' for AI suggestions
Unlike basic video systems, this AI:
- Understands what it sees
- Converses naturally about visual content
- Learns from your interactions
- Suggests helpful actions
- Adapts its personality to your preferences
It's like having Gemini's intelligence with computer vision! 🤖👁️