AIM-Color is a lightweight C++ colorbot built around the FastFind pixel search library. It captures a designated region of your display, scans for target pixel colors, and calculates mouse offsets to assist aiming in real time.
It does not feature a graphical user interface. All parameters are managed directly through configuration files and interactive console commands.
- Screen Capture & Processing: Utilizes FastFind to capture a localized region defined by your Field of View (FOV).
- Target Identification: Locates pixel coordinates matching specified target colors and variation tolerances.
- Input Emulation: Dispatches relative cursor updates via low-level API calls. Includes both linear tracking and assisted movement modes.
- Runtime adjustments: Modify configuration parameters directly through the active terminal window without restarting the binary.
This project relies on FastFind for high-speed screen capture and pixel detection:
- Repository: FastFrench/FastFind on GitHub
Place FastFind64.dll inside the same folder as Zeco.exe prior to execution.
- Launch
Zeco.exewith Administrator privileges. - Hold the configured aim key (Default: Right Mouse Button / Key Code 2) to activate tracking.
- Terminate the process by pressing
END(Key Code 35).
To modify settings while running, enter commands into the terminal using the following format:
/FOV = 120
/strength = +0.05
/useaimassist = false
Using + or - adjusts the current values relative to their existing settings. Changes are saved directly to config.txt.
Pre-compiled binaries are available in the Releases section. To build the source using MinGW, execute the following in PowerShell:
g++ -std=c++17 -DVIGEM_DYNAMIC -I. (Get-ChildItem -Recurse -Filter *.cpp).FullName -o "Zeco.exe" -ld3d11 -ld3dcompiler -ldwmapi -lgdi32 -luser32 -lcomdlg32 -lsetupapi -lhid -L. -static-libstdc++ -static-libgcc -static
This project uses synthetic mouse input (SendInput) and standard desktop capture functions. It is not designed to bypass modern kernel-level anti-cheat solutions (such as Vanguard or EAC). Test on offline environments or non-critical accounts.
This software was developed strictly for educational purposes and performance analysis of desktop pixel search algorithms in C++.