CHNZYX/Auto_Simulated_Universe
Auto Simulated Universe
This project is a computer vision automation framework and game state automation engine. It uses real-time screen analysis and image recognition to identify interface elements and game conditions, which then trigger simulated mouse and keyboard inputs to automate repetitive tasks.
The system features a heuristic navigation system that calculates movement vectors by analyzing visual landmarks and spatial data to traverse virtual environments. It also includes an input simulation controller that synchronizes mouse sensitivity and DPI settings to ensure precise character rotation and coordinate translation.
The framework covers game state monitoring through optical character recognition and template matching, map layout recording, and a state-machine architecture for orchestrating combat and progression sequences. It also integrates system-level desktop notifications to alert users when automated task cycles are complete.
Features
- Computer Vision Automation Frameworks - Implements a complete framework for automating software interactions using real-time image recognition and screen analysis.
- Visual Template Matchers - Identifies interface elements and game states by comparing real-time screen captures against a library of pre-defined image assets.
- Heuristic Navigation Systems - Calculates movement paths by analyzing visual landmarks and spatial data to traverse complex environments autonomously.
- Vision-Based Navigation - Moving characters through digital environments by analyzing visual landmarks and map data to calculate movement vectors.
- Human-Mimetic Input Simulations - Executes gameplay tasks by programmatically triggering mouse and keyboard events to mimic human interaction.
- Agent Navigation Systems - Calculates movement vectors and traverses 3D virtual environments by analyzing visual landmarks and spatial data.
- Image Recognition Bots - Uses screen capture, template matching, and optical character recognition to detect game conditions and trigger inputs.
- Visual State Monitoring - Detecting specific game conditions and interface elements through real-time screen analysis to trigger logic-based actions.
- Gameplay Automation - Analyzes real-time screen data to simulate mouse and keyboard inputs for completing repetitive game sequences.
- Automation State Machines - Triggers automated input sequences by transitioning between predefined combat and progression states based on continuous visual feedback.
- Game Map Analysis - Records environmental data by traversing a map and allows manual tagging of path points and interaction targets.
- Input Perspective Calibrations - Synchronizes mouse sensitivity and DPI settings to ensure accurate character rotation and perspective shifts.
- Input Precision Calibrators - Synchronizes mouse sensitivity and DPI settings to ensure precise character rotation and coordinate translation.
- Game Navigation Utilities - Moves characters to specific destinations by identifying map edges and interaction points through a mini-map.
- Visual State Detectors - Detects game conditions using optical character recognition and priority lists to automate selection decisions.
- Input Coordinate Mappings - Synchronizes mouse sensitivity and DPI settings to ensure consistent screen-to-world coordinate translation.
- Precision Input Calibrations - Adjusts camera movement and viewpoint alignment to ensure the automation system navigates game environments without getting lost.
- Bot Input Calibrations - Synchronizing hardware settings like mouse DPI and sensitivity to ensure precise movement and camera alignment in simulations.
- Hardware Input Calibrations - Synchronizes mouse sensitivity and DPI settings to ensure consistent screen-to-world translation for accurate character rotation.
