Abstract: Unmanned aerial vehicles (UAVs) have become essential tools in photovoltaic (PV) defect detection. However, traditional convolutional neural network (CNN) models often experience significant ...
Abstract: This work presents a low-cost FPGA-based accelerator for real-time object detection and classification using a compressed YOLOv3-Tiny model. Existing FPGA-based CNN accelerators excel in one ...
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