KinAI Vision is an advanced smart home solution that transforms how your home interacts with you. Unlike traditional smart systems that simply respond to commands, KinAI Vision uses cutting-edge artificial intelligence to see, understand, and react intelligently to your presence, mood, time of day, weather, and even cultural context—all while keeping your data private and secure.
Built using modern technologies like YOLOv8, InsightFace, FastAPI, LangChain, CrewAI, and Docker, this system brings enterprise-grade AI capabilities into your personal space. With real-time facial recognition, personalized automation, and emotionally intelligent responses, KinAI Vision makes your home feel more intuitive, more personal, and more human.
Using YOLOv8, the system detects people in every room of your house with 99.5% accuracy. Whether it's you walking into the kitchen or a stranger at the front door, KinAI Vision sees them all—processing video in real time at over 30 frames per second.
Powered by InsightFace, KinAI Vision identifies each family member uniquely. It recognizes faces and matches them against your local database—without ever sending biometric data to the cloud. This ensures complete privacy-first design.
Each room adjusts lighting, temperature, music, and ambiance based on who enters. For example:
All preferences are stored locally in a PostgreSQL database and updated continuously through AI learning.
The system integrates live weather data from OpenWeatherMap to adapt greetings and environment settings:
KinAI Vision respects your traditions. It includes a Hindu festival calendar and weekday deity schedule to personalize greetings and automation:
Using LangChain and CrewAI, the system generates human-like greetings tailored to each person, time, weather, and occasion. These messages are delivered via voice, screen, or mobile notification.
Everything runs locally inside your home network:
If an unknown person is detected, especially during unusual hours, KinAI Vision triggers privacy-safe alerts. It classifies threats, sends AI-generated summaries, and keeps your identity protected.
Lights, music, and climate control adjust throughout the day:
This ensures comfort and energy efficiency around the clock.
KinAI Vision works with:
And thanks to Docker, deployment is simple and scalable.
| Tech | Purpose |
|---|---|
| YOLOv8 | Real-time object detection |
| InsightFace | Face recognition and embeddings |
| FastAPI | Web interface and API endpoints |
| LangChain + CrewAI | Context-aware natural language generation |
| PostgreSQL | Secure local storage of preferences and biometrics |
| Docker | Containerized, privacy-first deployment |
| Celery + Redis | Task queue and caching for real-time response |
Unlike most smart homes, KinAI Vision never uploads your data to the cloud. All AI models run locally, ensuring your family’s privacy remains intact.
| Feature | Traditional Smart Homes | KinAI Vision |
|---|---|---|
| Person Recognition | Basic motion sensors | Face-based identification |
| Personalization | Generic rules | AI learns individual preferences |
| Privacy | Cloud-dependent | Fully local processing |
| Context Awareness | None | Weather, time, culture-aware |
| Automation | Simple triggers | Predictive and adaptive |
| Security | Basic alerts | Threat classification with AI |
| Cultural Respect | Not available | Festival & ritual-based automation |
Whether you're automating one room or an entire house, KinAI Vision scales effortlessly. You can add cameras, expand AI agents, or integrate new services without compromising performance.
KinAI Vision is open source and ready for deployment today. Clone the repository, set up your cameras, and start experiencing a home that truly understands you.
📁 GitHub Repository
🔧 Easy Docker setup included
🌟 Fork it, build it, evolve with us!
It is not enough that we build products that function, that are understandable and usable, we also need to build products that bring joy and excitement, pleasure and fun, and, yes, beauty to people’s lives. Creativity is to discover a question that has never been asked. If one brings up an idiosyncratic question, the answer he gives will necessarily be unique as well.


