Once the enemy is identified on the screen, these cheating engines can easily calculate precisely how far and in which direction the mouse needs to move to put that enemy (or even a specific body part, like the head) in the center of the crosshairs. Those display frames are then run through a computer vision-based object detection algorithm like You Only Look Once (YOLO) that has been trained to find human-shaped enemies in the image (or at least in a small central portion of the image near the targeting reticle). The first step is using an external video capture card to record a game's live output and instantly send it to a separate computer. The basic toolchain used for these external emulated-input cheating methods is relatively simple. This is forcing the developers behind these games to look to alternate methods to detect and stop these cheaters in their tracks. By using external tools like capture cards and 'emulated input' devices, along with machine learning-powered computer vision software running on a separate computer, these cheating engines totally circumvent the secure environments set up by PC and console game makers. Further Reading Ring 0 of fire: Does Riot Games’ new anti-cheat measure go too far?But there's a growing category of cheating methods that can now effectively get around these forms of detection in many first-person shooters.
