Case Study
RoK Farm Bot Automation
A computer-vision-driven automation system designed to execute repetitive farming routines with minimal manual input. The project focuses on deterministic task sequencing, frame recognition, and controlled input orchestration.
Python
OpenCV
ADB Automation
error_outline The Problem
Repetitive farming actions required high repetition and precise timing, making sustained manual execution inefficient. The challenge was to build a reliable automation flow that could interpret screen state, choose the next action safely, and continue long-running loops with operational stability.
account_tree Automation Architecture
screenshot_monitor
Emulator Feed
dataset
Template Library
tune
Task Profiles
psychology
Vision Decision Engine
OpenCV + Rule Planner
touch_app
ADB Action Executor
autorenew
Loop Scheduler
shield
Safety Checks
terminal Tech Stack
Language
Python
Computer Vision
OpenCV
Input Layer
ADB
Control
Rule Engine
Observability
Telemetry Logs
analytics Impact
all_inclusive
24/7 Loops
Continuous Farming Automation
gesture
Reduced Repetition
Minimal Manual Interaction
device_hub
Scalable
Multi-Instance Execution Support