Implementing Forest Fire Object Detection Model With BrainyPi Using EdgeAI

EdgeAI, also referred to as AI at the edge, is where artificial intelligence and machine learning are performed on local devices, instead of relying on remote cloud servers. This allows for faster data processing and analysis because the information doesn't have to travel long distances.

Here the edge device is Brainypi.

This project is an object detection model which detects fire in an image given.

• BrainyPi
• UNIX OS Terminal

Enter the username and password to get authenticated to use BrainyPi.

Clone the repository using git clone and change the current working directory using the cd command.

Run the script to execute inference.py file.

• These outputs are produced by the model.
• The output images consist of images with bounding boxes around fire and have confidence scores of the respective bounding box.