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DSatishchandra/solar_wind_fault_detection_Ver2

sourceHugging Faceapache-2.0updated 1y agoView on Hugging Face
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App README

Thermal Anomaly Monitoring Dashboard

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.

Features

  • —Live video feed with fault detection (bounding boxes and labels).
  • —Live logs, metrics, and anomaly trends.
  • —Predictive anomaly detection based on trends.
  • —Videos stored in the data folder.

Setup

  1. 1.Place .mp4 videos in the data folder.
  2. 2.Install dependencies: pip install -r requirements.txt.
  3. 3.Run the app: streamlit run app.py.
  4. 4.Deploy on Hugging Face Spaces.

Notes

  • —Fine-tune YOLOv5 models for accurate fault detection.
  • —Update class IDs in detection_service.py based on your model.

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference