PYTHON

OpenCV

AHK

CV2

ROBLOX MACRO

1import cv2

2import numpy as np

3from pynput import mouse

5def detect_bar(frame):

6 hsv = cv2.cvtColor(

7 frame, cv2.BGR2HSV)

8 return find(mask)

// PRECISION AUTOMATION FRAMEWORK

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// Core Systems

Built for Performance

⚡

Real-Time Detection

Advanced computer vision algorithms process frames in milliseconds, ensuring precise tracking and instant response to visual changes.

🎯

Pixel-Perfect Control

Tap-balanced input systems deliver smooth, human-like interactions that maintain precision under any condition.

📊

Adaptive Scaling

Resolution-independent detection automatically normalizes visual targets across any screen size or display configuration.

🔧

Fully Configurable

Fine-tune margins, smoothing, delays, and sensitivity. Every parameter is exposed for complete control over behavior.

🛡️

Safe Patterns

Human-like input randomization to maintain natural gameplay patterns and reduce detection risk.

📝

Debug Overlays

Visual outlines, color-coded indicators, and frame-by-frame logging for transparent operation and easy troubleshooting.

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