This project combines the capabilities of an AllSky camera with machine learning to classify cloud formations in real-time, making it a perfect solution for weather enthusiasts, researchers, and smart home integrations. Designed for ease of use and flexibility, the system can seamlessly integrate with Home Assistant, bringing cloud and weather monitoring right to your smart home dashboard.

Key Features:

• AllSky Camera Integration: Leverages an AllSky camera to capture 360-degree sky images, providing a complete and dynamic view of cloud conditions.
• Machine Learning-Powered Classification: Identifies cloud types such as cirrus, cumulus, and stratus using a trained neural network, delivering fast and accurate results.
• Real-Time Weather Monitoring: Automates cloud tracking, enabling continuous observation for meteorological research and personal use.
• Home Assistant Compatibility: Easily integrates into Home Assistant to display cloud classifications, weather updates, and sky conditions on your smart home dashboard.

Technologies Used:

• Python for backend development
• TensorFlow/Keras for deep learning and classification
• OpenCV for preprocessing AllSky images
• MQTT for communication with Home Assistant
• Home Assistant for smart home integration
• Matplotlib and Seaborn for visualizations

Applications:

• Smart Home Weather Monitoring: Automate weather insights and display cloud types alongside other weather data on your Home Assistant dashboard.
• Meteorological Research: Streamline the collection and classification of atmospheric data for research projects.
• Educational Tools: Teach weather and atmospheric science with a practical and interactive system.
• Astronomy Support: Monitor sky conditions to determine ideal stargazing or astrophotography windows.

Why It’s Interesting:

This project bridges the gap between advanced meteorological tools and everyday smart home systems, making real-time weather monitoring accessible and intuitive. Integrating with Home Assistant makes it a valuable addition to smart homes, enabling users to track atmospheric changes directly from their living space.