KinAI-NexPatrol

KinAI-NexPatrol: AI-Powered Home Surveillance System

KinAI-NexPatrol: AI-Powered Home Surveillance System

Intelligent, Privacy-First Security for Your Home

[πŸ€– AI-POWERED] β€’ [πŸ“Ή SURVEILLANCE] β€’ [πŸ”’ PRIVACY-First]

Docker NVIDIA Python Telegram

🎯 YOLOv8 β€’ πŸ‘€ InsightFace β€’ 🧠 Ollama β€’ πŸ”„ n8n

Secure your home with smart, real-time AI surveillance

KinAI-NexPatrol


Why KinAI-NexPatrol?

KinAI-NexPatrol is a privacy-first, AI-driven home surveillance system that eliminates irrelevant alerts using YOLOv8 for person detection, InsightFace for face recognition, and Ollama for risk assessment. Running locally in a Dockerized environment with NVIDIA GPU acceleration, it delivers meaningful Telegram notifications, integrated with the KinAI Ecosystem.

Key Features

  • πŸ‘€ Advanced Face Recognition: Identifies family vs. strangers with high accuracy.
  • ⚠️ AI Risk Assessment: Scores threats based on behavior, time, and context.
  • πŸ“± Telegram Alerts: Sends prioritized notifications with images for real threats.
  • πŸ“Ή Multi-Camera Support: Processes multiple feeds for comprehensive coverage.
  • πŸ”’ Privacy-First: Local processing with SQLite ensures no data leaves your home.
  • πŸŽ“ Training Module: Customizes recognition for family and trusted visitors.

Privacy by Design

KinAI-NexPatrol runs entirely locally, using Docker and SQLite for secure data storage. All AI processing, including face recognition and risk analysis, happens on your hardware, ensuring complete privacy and no cloud dependency.

Integration with KinAI Ecosystem

KinAI-NexPatrol feeds security alerts into the KinAI Ecosystem’s chat hub, enabling responses like: β€œAn unknown visitor was detected at 3 AM; check Telegram for details.” It syncs with KinAI-Vision, CareVault, ScholarKit, Mentor, and GeoPulse for a holistic family assistant.

Get Started

Explore KinAI-NexPatrol on GitHub for setup guides, code, and documentation. Protect your home with intelligent surveillance today!

Visit KinAI-NexPatrol on GitHub


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