Edge-AI Solar Farm Defect Detection & Autonomous Cleaning Rover
All-terrain tracked solar panel inspection rover with edge-camera micro-crack detection, spinning microfiber brush, and auto-docking charging station.
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Project Technical Overview
A compact tracked mechanical rover built from laser-cut aluminum and acrylic with twin high-torque gear motors, rotating cylindrical microfiber roller, ESP32-CAM optical inspection module, and automatic edge-detection sensors for rooftop solar arrays. ### Real-World Problem Dust accumulation and microscopic micro-cracks reduce solar PV energy efficiency by up to 35% and cause irreversible panel hot-spot burnouts. ### Practical Student Solution Autonomously traverses panel rows dry-cleaning dust without water while scanning for hot-spot defects using onboard vision edge inference. ### Hardware Modules & Sensors - ESP32-CAM AI SBC - Dual Tracked Chassis Base - High-Torque DC Motors - Microfiber Cleaning Roller - IR Fall-Prevention Edge Sensors - 12V Rechargeable LiFePO4 Battery ### Commercial & Institutional Value Premier flagship project for Mechanical, Mechatronics, and Renewable Energy engineering students.
Read the foundational IEEE conference research paper, citations, and algorithmic architecture for this project.