This project is a Python-based game automation bot and computer vision assistant designed to automate gameplay on Android devices. It functions as a controller that identifies game elements via pixel color scanning and simulates touch inputs to execute gameplay without manual intervention.
The system distinguishes itself through the use of anti-detection measures, implementing interaction coordinate management and timing offsets to avoid being flagged by security systems. It also employs resolution-dependent scaling coefficients to maintain jump accuracy across different device screen sizes.
The automation suite covers real-time screen capture, computer vision-based state analysis, and mathematical jump distance calculations to determine required press durations. It includes debugging tools that save annotated screenshots to visualize detected coordinates and calculated paths.
