AI Baby Monitor: Your On-Device Smart Video “Nanny” for Safer Baby Care
What is AI Baby Monitor?
AI Baby Monitor is an open-source, privacy-focused baby monitoring system developed by zeenolife. It leverages cutting-edge video Large Language Models (Video-LLMs) to analyze real-time video streams from webcams or RTSP-supported cameras. Designed to run entirely offline, AI Baby Monitor provides intelligent, customizable baby safety monitoring, making it a powerful, cloud-free alternative for parents and caregivers.
Key Features
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Local Video Analysis: Processes video feeds entirely on-device, ensuring full user privacy and zero cloud dependency.
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Custom Safety Rules: Enables users to define personalized monitoring rules, such as detecting if the baby has rolled over or if a foreign object enters the crib.
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Real-Time Alerts: Sends immediate notifications when a rule is triggered, helping parents or caregivers respond quickly.
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Flexible Camera Support: Compatible with various types of cameras including USB webcams and IP cameras with RTSP support.
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User-Friendly Interface: Offers an intuitive dashboard for live video viewing and easy configuration of safety parameters.
Technical Details
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System Architecture: Built using Python and Docker, allowing for easy cross-platform deployment and maintenance.
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Video Processing: Utilizes OpenCV for real-time frame capture and analysis, ensuring efficient and accurate video interpretation.
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LLM Integration: Incorporates a locally optimized Video-LLM to understand complex scenes and recognize potential risks.
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Rule Engine & Alert System: Features a customizable rules engine and multi-channel alert system (e.g., email, SMS) for responsive safety monitoring.
Project Links
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GitHub Repository: https://github.com/zeenolife/ai-baby-monitor
Application Scenarios
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Home Baby Monitoring: Empowers parents with smart tools to track their baby’s condition even when physically apart.
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Childcare Centers: Enables staff to monitor multiple infants simultaneously, improving safety and efficiency.
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Hospital Neonatal Units: Assists medical personnel in monitoring newborns to reduce the risk of unattended incidents.
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Research & Development: Serves as a foundational tool for researchers and developers in infant behavior or caregiving technologies.