Implementing Forest Fire Object Detection Model With BrainyPi Using EdgeAI

In Edge AI, artificial intelligence tasks are executed locally on devices like Brainypi, rather than relying on distant cloud servers. This ensures quicker data processing, as information doesn't need to travel far. Specifically, we've integrated a forest fire detection model onto Brainypi in this project.

• 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.