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Life & fun · June 14, 2026

DY

Dual YOLOv8n UAV Detection on RK3588S at 42 FPS Using NPU

Visit github.com ↗Alternativestop 3% of June 2026

In plain words

This project runs dual YOLOv8n object detection models on an RK3588S processor's neural processing unit, achieving 42 frames per second. It is designed for developers and researchers working with UAV detection systems who need efficient, real-time performance on embedded hardware. The implementation leverages the RK3588S's NPU acceleration to run two detection models simultaneously, making it suitable for applications requiring parallel processing or redundant detection capabilities.

written from the facts on this page · September 2026

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