Dual-Gate Electro-Visual Verification for Safe Autonomous Photovoltaic Cleaning on Edge Hardware
This paper presents a Raspberry Pi-based autonomous photovoltaic cleaning system that employs a dual-gate protocol combining YOLOv8n visual defect detection and INA219 electrical sensing to safely trigger water cleaning only for dusty panels with verified structural integrity, thereby maximizing power recovery while preventing unnecessary maintenance on damaged modules.