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Dual YOLOv8n UAV Detection on RK3588S at 42 FPS Using NPU

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HN · launched Jun 14, 2026 · 72 upvotes (top 11%) · 0 views

Niche: computer vision software and models · 225 launches, 11 in the last 7 days ▼ -45% · Explore this niche →

Category and tags

  • Security
  • Model & infra
  • Developer
  • AI-native
  • Hobby / open-source project

Visit website ↗ Source listing ↗

Could you build this?

No Running dual real-time YOLOv8 models at 42 FPS on an RK3588S requires embedded Linux optimization, Rockchip NPU (RKNN) C++ SDK development, and zero-copy hardware memory pipelines.

What it would actually take: The system requires embedded C++ or Rust using the Rockchip RKNN-Toolkit2 C API to interface directly with the 6 TOPS NPU across multiple cores. Crucial hard parts include multi-threaded inference pipelining, converting PyTorch weights into quantized RKNN models without loss of mAP, zero-copy V4L2 camera capture via DRM/DMA-BUF, and custom non-maximum suppression (NMS) on the CPU/NPU. This demands specialized expertise in embedded systems, computer vision, and edge hardware acceleration.

Discussion

9 comments analyzed.

Competitors mentioned: RF-DETR, YOLOv9-12, YOLOv5

Concerns raised: NPUs underutilized due to lack of programming knowledge, YOLOv8 is 3 years old; newer versions have murky licensing or aren't open source, Batching adds queueing latency for real-time live camera streams, RKNN export compatibility issues with newer YOLO versions

Competitors

Other products that read as similar to this one : 1039 launches clear the similarity bar, closest 8 shown.

Attention rank: #122 of 1040 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 226 days after the earliest competitor.

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