Скачать или смотреть YOLOv11n on Raspberry Pi reComputer for Loitering Detection and Speed Estimation (Hailo-8)

Want to run real-time loitering detection & speed estimation fully on-device?
This new demo on reComputer AI R (reSpeaker CM5 + Hailo-8) has you covered.

Powered by YOLOv11n and accelerated by Hailo-8 (up to 26 TOPS), this setup delivers fast, stable edge AI performance without touching the cloud.

🔹 Loitering Detection
– Real-time person detection & tracking
– Each person gets a unique ID
– Set your own loitering threshold via WebUI (3s, 5s, or whatever fits)
– If someone stays too long → red bounding box + “Loitering” label, instantly visible

🔹 Speed Estimation
– Analyze live streams or uploaded local videos
– Detect people, vehicles, and whatever you want
– Tune confidence thresholds in WebUI to improve speed accuracy
– Track object movement and estimate speed frame by frame

Everything runs locally on reComputer AI R — low latency, high privacy, zero cloud dependency.
Perfect for security, smart buildings, traffic analysis, or any edge AI scenario that needs speed and control.

If you're serious about scaling Visual AI at the edge, this demo is a solid move.
Plug it in, tweak it live, and watch YOLOv11 do its thing 🚀

Check out our step-by-step Wiki guide which show you how to run this project: https://wiki.seeedstudio.com/yolov11_...
Also check Github: https://github.com/Seeed-Projects/YOL...

√ reComputer AI Industrial R2135: https://www.seeedstudio.com/reCompute...
√ reComputer AI Industrial R2145: https://www.seeedstudio.com/reCompute...

Raspberry Pi AI BOX Tutorial from Zero to Hero: https://github.com/Seeed-Projects/Tut...

Connect with us: [email protected]

We're hiring! If you're interested, send your CV to join [email protected]

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