I have a project with Arduino, its main idea is a fire extinguishing system, It could to use a camera to aim to the fire when its detected. There is a reference to how integrate AI with Python to analyze the camera image to detect the fire?
Have you actually used your camera to take a picture of a fire? How many different fires? How many different fuels?
If there is such a reference, your web search skills should turn it up.
Image processing is out of the question for most Arduinos, and very limited with others. Furthermore, only very simplified and limited versions of Python (MicroPython and CircuitPython) run on the most powerful Arduino MCUs.
What is your board?
Unless you are using Due, you are hard out of luck.
The best you can do is display an optimized image.
You need a SD card reader module, or any display which has a card reader implemented.
If you are desperate enough (for educational endeavor), you have to convert them into a RGB Raw pixel data first, and load directly to PROGMEM, and then read from there. That too, tested for max resolution of 128x160, takes a good half a second to just load the image data to the screen buffer.
But in short, displaying an image on MEGA is hard, forget about using AI to reliably differentiate fire data from some kid shining a torch at the camera and triggering the sprinkler of the entire building.
Yes, you can use Python with a library like OpenCV to detect flames via the camera.
I tested with a small CNN model trained on fire images, it works quite well.
Then the Arduino can receive the coordinates via serial to aim.
Maybe this was what you were looking for?
I was imagining only an Arduino and a camera, and could not get around to how it could work.
Fire Detection System in Python using OpenCV With Arduino - GSM - Call Alert and SMS Notifications
not on Arduino. You need something more powerful and as you said, then send possibly information to an Arduino for taking action.