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license: apache-2.0
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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license: apache-2.0
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---
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# Thermal Anomaly Monitoring Dashboard
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A dashboard for real-time fault detection in solar panels and windmill turbines using drone or CCTV footage. Built with Streamlit and YOLOv5, deployed on Hugging Face Spaces.
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## Features
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- Live video feed with fault detection (bounding boxes and labels).
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- Live logs, metrics, and anomaly trends.
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- Predictive anomaly detection based on trends.
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- Videos stored in the `data` folder.
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## Setup
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1. Place `.mp4` videos in the `data` folder.
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2. Install dependencies: `pip install -r requirements.txt`.
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3. Run the app: `streamlit run app.py`.
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4. Deploy on Hugging Face Spaces.
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## Notes
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- Fine-tune YOLOv5 models for accurate fault detection.
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- Update class IDs in `detection_service.py` based on your model.
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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