🚀 Deploy YOLO11 on RK3576 Module + Raspberry Pi CM4 IO Board!! We tested the #reComputer# #Rockchip# #RK3576# Module on a #RaspberryPi# #CM4# IO Board and successfully deployed #YOLO11# from #reComputerAILab# for real-time object detection! ✅ RK3576 NPU acceleration ✅ YOLO11 running locally on the edge ✅ USB camera support via CM4 IO Board ✅ Armbian + Docker deployment 🧩 Check reComputer RK3576 Module: 🛠️ Try reComputer AI Lab: 🛒 reComputer RK3576/RK3588 is in STOCK: #SeeedStudio# #reComputerRK# #Rockchip# #reComputer# #RK3576# #VisionAI# #EdgeAI# #AIoT# #ComputerVision# #reComputerAILab# #AIDeployment# #TheEasierPowerfulAIComputer# #TheAIHardwarePartner#

🤖 Can Codex Build a Human Pose Estimation App on reComputer R? From Natural Language Prompts to Edge AI in Action! Can Codex build and deploy a Human Pose Estimation app on the reComputer R? We put it to the test. With just a few prompts, Codex connected via SSH, built a YOLOv8 Pose Estimation WebUI, and deployed it directly to the device, powered by Hailo-8 acceleration. 🎯 Upload a video. Detect human poses. Visualize body keypoints and skeletons right in your browser. Less manual coding, faster prototyping, and Edge AI running where it matters. 🛠️ Check this project on reComputer AI Lab: #SeeedStudio# #reComputerR# #RaspberryPi# #reComputer# #VisionAI# #EdgeAI# #AIoT# #ComputerVision# #reComputerAILab# #AIDeployment# #PowerfulRaspberryPiAIBox# #TheAIHardwarePartner#

📡 A LoRaWAN gateway is more than a radio connected to the cloud. 🏭 See how WM1302, edge software, RS485, Ethernet and 4G work together inside the reComputer R1225. 💬 What matters most in your deployment: coverage, local processing or backhaul? 🔗 #SeeedStudio# #theAIHardwarePartner# #theIndieCommunicationSystem# #LoRa# #LoRaWAN# #LoRaWANGateway# #R1225# #WM1302# #SX1302# #IIOT# #BuildingManagementSystem# #SmartBuilding# #IoTGateway# #RaspberryPi#

$MU $SKHY Raspberry Pi CEO: even in a tight DRAM market, customers keep shifting to higher density SKUs. Edge AI is just getting started. Customers don't care how expensive they are, they just need more memory. Oh, yeah. That's AI.

We ran a 90M parameter Falcon LLM on a 2014 Raspberry Pi. Watch how we bypassed ARMv6 limits and memory bottlenecks to bring modern AI to a 700MHz single-core CPU with just 512MB of RAM.