Automatic Aerator for Traditional Fish Farmers
An upgraded prototype of an affordable automatic aerator system for traditional fish farmers
AutoVE: Autonomous Mobile Aerator V2
Upgraded a basic fish pond aerator into a Linux-powered autonomous mobile platform with smartphone control and solar charging — preparing for AI-based navigation.
The Problem
Traditional fish farmers use stationary aerators that only oxygenate a small area of the pond. Moving them manually is labor-intensive. V1 used an ESP32 but was too limited for real-time processing and future AI features like obstacle avoidance.
What I Built
Redesigned the entire platform from microcontroller-based to a Mini PC (Linux) architecture.
- Migrated control system from ESP32 to Mini PC — enabling Python, real-time processing, and future AI stack
- Redesigned power system from AC car battery to DC motors with solar panel compatibility
- Built smartphone control interface over local WiFi for manual operation
- Implemented dual-mode framework: manual control + autonomous waypoint navigation
- Designed modular wiring and hardware schematics for easy sensor/actuator expansion
Linux Python Mini PC Solar Power WiFi Control Autonomous Navigation
Status
- Working prototype with smartphone control and solar-compatible power
- Foundation laid for AI collision avoidance and GPS waypoint navigation in next iteration
- Targeting deployment as affordable, off-grid mobile aerator for rural fish farmers
Field Test
