To set up, users need Docker, a GPU, and Python 3.12. The setup involves cloning the repository, configuring environment files, and running services through Docker. The system architecture includes components like `stream_to_redis.py` for capturing frames and `run_watcher.py` for processing frames and issuing alerts. The project emphasizes that it is not a substitute for adult supervision and should be used responsibly. It is licensed under the MIT License, with notification sounds and demo videos sourced from Mixkit and Pexels, respectively.
Key takeaways:
- The AI Baby Monitor is a local video-based system that uses LLMs to monitor a baby and alert parents with a gentle beep if safety rules are broken.
- All processing is done locally, ensuring privacy, and the system can operate in real-time on consumer GPUs.
- Users can configure safety rules using YAML files and the system supports monitoring multiple rooms.
- This tool is not a replacement for adult supervision but serves as an additional safety measure for brief moments of distraction.