Hey guys,
Looking at some common open-source Overwatch aimbots, it seems like the object identification strategies are pretty simple and domain-specific: (Serenity/Aimbot.cs at master . Malalicious/Serenity . GitHub)
GitHub - ShiqiYu/libfacedetection: A fast binary library for face detection and face landmark detection in images. The face detection speed can reach 1500FPS. You can use it free of charge with any purpose.
Face detection of a 640x480 window using just a single modern CPU core can reach up to 100FPS, so it seems definitely fast enough.
1. Has anyone made an aimbot that detects faces using the deep learning approaches of academic work in face detection/recognition?
https://www.ownedcore.com/forums/fps...overwatch.html (Pixel aimbot for Overwatch)
2. This thread, in which a derivative of Serenity is discussed, mentions that using "mouse_event" will get you banned pretty quickly. To the best of my understanding mouse_event refers to Windows API calls, is that correct?
What are general ways in which hacks are detected?