Hello everyone!

I’m currently doing a CS Project which identifies one object in a game running on window mode and take actions by itself (by autoclicking or pressing a key). Basically, I will set a canvas on the up right side of my desktop, match it with the game window size and then start trying to identify one specific object. For exemple, i use an image of a monster in the identification algorithm, if it appears on screen and matches, it takes an action.

I’m just a beginner in ML… Do I need a neural net for doing that object identification? If so, how do i create a dataset if it’s only trying to identify one specific object?

I accept literally every possible tip you guys can get me. Libraries I can use, image processing tips for that… anything.

Thanks!