The project was developed using various fire and smoke detection techniques. It is still in development!
Using two Python scripts, the automation of image conversion from the current format to BMP was implemented for processing, and the number of images in the folder was obtained.
For an image to be processed, it is sufficient to place it in the ./Images folder. Then, the Python scripts are called when the program runs, handling its preparation before being processed by the C++ program.
Functions were created to facilitate data processing and visualization of results, as well as a menu that allows live navigation through the images in the folder and viewing the output.
For fire detection, two techniques were used: one based on HSV encoding and another using the red color channel from BGR encoding.
