Deployment and Optimization of YOLOv8n Edge Object Detection on RISC-V K230
To address the challenges of deploying deep neural networks (DNNs) on heterogeneous edge platforms for industrial defect detection, this study optimizes the YOLOv8n model for the RISC-V K230 platform. Microbenchmarking and pipeline analysis reveal three primary bottlenecks impeding lightweight deployment: memory bandwi...