Fever Detection using IR Camera using Machine Learning

Fever Detection using IR Camera using Machine Learning

1. IR Camera Fever Detection 1

2. Project Overview 2 Objective: Detect faces in IR camera video frames and measure temperatures to identify potential fevers. Tools Used: Google Colab , Gradio

3. Dataset 3 Dataset Link: https://www.youtube.com/watch?v=aQfObI_FAAw&t=1s&pp=ygUUdGhlcm1hbCBjYW1lcmEgdmlkZW8%3D Video has been used as a dataset in this project.

4. Model Training 4 Base Model: YOLOv8 small model (yolov8s.pt) Training Command: yolo task=detect mode=train model=yolov8s.pt data= data.yaml epochs=50 imgsz =320 plots=True

5. Training Results 5

6. Validation Results 6

7. Confusion Matrix 7

8. Prediction Results 8

9. Gradio Interface 9

10. Gradio Interface 10

11. Gradio Interface 11

12. Use References 12 https://www.isic-archive.com/ https://my.clevelandclinic.org/health/diseases/22121-benign-tumor https://ieeexplore.ieee.org/abstract/document/9445249/ You can use these websites:

13. Thank you 13