More about Fire Detection

I originally created this project with Anthony Shank to submit to the Machine Learning competition at UAT. We won first place which inspired me to continue working on the project. I have since improved the accuracy of the model as well as optimized the code to run faster. The picture above is a prediction of the model on a batch of images. The model displays a confidence score on a scale of 0 to 1. The closer the score is to 1 the more confident the model is that the image contains fire. This data was custom labeled using Roboflow and programmed in Python.

Below is a video of the model in action. The model is running on an AMD Ryzen 9 7900X processor and is connected to a webcam. The model is able to detect fire in real time.