🎉🎉That's a wrap on Smart Tech Korea 2026! Over the past three days, Seeed was proud to exhibit in the #RobotTech Show, where innovators across #robotics, #AI, #automation, and #intelligent systems came together to showcase the future of technology. A big thank you to everyone who visited our booth and shared their ideas, challenges, and vision for the next generation of AI-powered robotics. STK26 Seeed Studio Highlight 🤖 reBot Arm B601-DM Open-source 6-DOF robotic arm built for AI and embodied intelligence applications 🚀 reComputer RK3576 Compact Edge AI computer starting at just $99. Powered by Rockchip and supported by reComputer AI Lab for one-click AI deployment Thank you to everyone who stopped by. See you at the next event! #SeeedStudio #STK26 #reComputerRK #Rockchip #reComputer #RK3576 #EdgeAI #AIoT #Robot #reBot #RobotArm #OpenSource #TheAIHardwarePartner

⚽🔥World Cup Is Here! We built an AI Athlete Tracking System with Zero Code!!!! With reComputer AI Lab's growing library of 100 AI models, developers can skip complex environment setup, model conversion, and deployment workflows, and focus on turning ideas into applications faster⚡⚡ Future extensions could include: ☑️ Player trajectories ✅ Running distance ☑️ Speed analysis ✅ Ball possession statistics ☑️ Tactical insights ✅ Automated reporting 🚀 Check out reComputer AI Lab NOW: seeedstudio.com/reComputer-R… 🛒 Get Hot Sale reComputer RK3576/RK3588: seeedstudio.com/reComputer-R… #WorldCup #SeeedStudio #reComputerRK #Rockchip #reComputer #RK3576 #RK3588 #VisionAI #NVR #aibox #EdgeAI #AIoT #ComputerVision #reComputerAILab #YOLO #AILab #AIDeployment #TheEasierPowerfulAIComputer #TheAIHardwarePartner

🚀 How to Deploy AI on reComputer RK3576/RK3588 in Just a Few Clicks — No Coding Required?? ✨ reComputer AI Lab: sensecraft.seeed.cc/ai-lab With reComputer AI Lab, you can skip the complexity of environment setup, model conversion, and deployment pipelines. In this video, you'll see just how easy it is to deploy optimized AI models directly to reComputer RK devices in just a few clicks. ☑️ Ready-to-use AI models for #CV, #LLM, and #VLM ✅ One-click deployment workflows optimized for Rockchip NPUs ☑️ Pre-configured tools and containers to eliminate setup hassles ✅ Step-by-step tutorials, project examples, and benchmarking guides ☑️ Built for #Rockchip, #Raspberry Pi, and #NVIDIA Jetson platforms reComputer AI Lab helps you move from idea to deployment faster than ever!!! #SeeedStudio #reComputerRK #Rockchip #reComputer #RK3576 #RK3588 #VisionAI #NVR #aibox #EdgeAI #AIoT #ComputerVision #reComputerAILab #YOLO #AILab #AIDeployment #TheEasierPowerfulAIComputer #TheAIHardwarePartner

🚀🚀Starting at Just $99, reComputer RK3576/RK3588 Launches Tomorrow‼️‼️ Built for edge AI developers, robotics innovators, and embedded AI deployment, the Seeed Studio #reComputerRK series brings powerful @IloveRockchip AI computing into an open and developer-friendly ecosystem. ⚡ Edge AI Ready • RK3576 / RK3588 Powered • Up to 32GB LPDDR5 • Up to 6 TOPS AI NPU • Rich I/O for vision AI, robotics, and industrial applications 🧠 AI Deployment Made Easier Supports ONNX, PyTorch, TensorFlow, RKNN-Toolkit2, LLMs, VLMs, CNNs, and more. 💥 reComputer AI Lab sensecraft.seeed.cc/ai-lab ✅ No-code, one-command Docker deployment ✅ 100 AI model resources ✅ Tutorials, demos, and deployment guides 🛠️ Official Tech Support With official @armbian support and scalable AI accelerator compatibility, reComputer RK is designed for long-term development, customization, and real-world AI deployment. First batch stock will be limited. ⏳ See you tomorrow #SeeedStudio #Rockchip #reComputer #RK3576 #RK3588 #VisionAI #NVR #aibox #EdgeAI #AIoT #ComputerVision #reComputerAILab #YOLO #Armbian #AILab #AIDeployment #TheEasierPowerfulAIComputer #TheAIHardwarePartner

🔥🔥reComputer RK3576/RK3588 Launching Next Week!! Meet the Seeed Studio #reComputerRK series, an high-performance open source #Rockchip AI Box for AI Application!! 🛠️Designed for developers and embedded AI innovators. 🚀 Powerful Edge AI Performance • Up to 32GB LPDDR5 • 6 TOPS NPU 💥 AI Developer Ready Supports ONNX, PyTorch, TensorFlow, RKNN-Toolkit2, and popular AI models for fast AI deployment at the edge. ⚡ reComputer AI Lab sensecraft.seeed.cc/ai-lab 100 optimized AI models, one-command Docker deployment, tutorials, demos, and project resources Powerful AI performance, rich interfaces, flexible deployment options — all in one ecosystem!! Check here for more specifications: files.seeedstudio.com/wiki/r… Stay tuned for the official launch! 🚀 #SeeedStudio #Rockchip #reComputer #RK3576 #RK3588 #VisionAI #NVR #aibox #EdgeAI #AIoT #ComputerVision #reComputerAILab #YOLO #YOLOv8 #PoseDetection #AILab #AIDeployment #TheEasierPowerfulAIComputer #TheAIHardwarePartner #DeployYOLOv8PoseDetectiononreComputerRK3576withreComputerAILab

🚀 Something exciting is coming for the #reComputerRK ecosystem… Our reComputer RK3576 is in the final stage and getting ready to launch soon. While we’re still fine-tuning the hardware, you don’t have to wait to start building!! 👉 Try reComputer AI Lab first NOW: sensecraft.seeed.cc/ai-lab a no-code, one-click deployment platform designed to work seamlessly with the RK ecosystem. If you're already exploring RK-based solutions, this is definitely worth a look🤔 💡 It’s still evolving, your feedback can help shape what it becomes. Jump in early. Build with us. Learn more about reComputer RK: files.seeedstudio.com/wiki/r… #SeeedStudio #Rockchip #reComputer #RK3576 #RK3588 #VisionAI #NVR #aibox #EdgeAI #AIoT #ComputerVision #reComputerAILab #YOLO #AILab #AIDeployment #TheEasierPowerfulAIComputer #TheAIHardwarePartner

Edge AIoT in action: #nannobot @IloveRockchip-powered #RK3576 local Qwen-3-4B = autonomous smart lighting! 💡 Our workflow: 🎯Model: #Qwen-3-4B.onnx → Qwen-3-4B.rknn → rknn server → nannobot (local inference, no cloud) ⛳️Skills: Relay skill: controls USB relay for lighting switches Sensor skill: reads & filters ambient light data #RK3576 #EdgeAI #IoT #LocalLLM #nannobot #RKNN #reComputer #Rockchip #AIoT #theEasierPowerfulComputer #RK3588 #reComputerRK

🔥Run #VLM & #YOLO26 on #reComputer #RK3576 / #RK3588 for Smart Security/Safety 🚗 Traffic Monitoring 🏢 Public Space / Building Entry 🏗 Construction Site Safety Instead of just: "There are objects in the frame" Now you get: "Here’s what’s happening, and what it means" By combining real-time detection (YOLO) with scene understanding (VLM), this demo shows how edge devices can move from perception to reasoning without relying on the cloud. 💡Learn more about reComputerRK: lnkd.in/gH87pF2f #SeeedStudio #reComputer #Rockchip #RK3576 #RK3588 #VLM #VisonAI #ObjectDetection #yolo #ultralytics #YOLO26 #EdgeAI #SmartSecurity #smartsafety #AIBox #NVR #AIoT #EdgeComputing #surveillance #TheAIHardwarePartner #theEasierPowerfulAIComputer

📢 Preparing for @openclaw deployment on #reComputer RK? We’ve simplified the model conversion process to just 2 lines of code! 💯 Turn your local model #Qwen/Qwen3-4B-Instruct-2507 into #RKLLM (optimized for reComputer RK) effortlessly, calling the local model directly, ensuring privacy-first processing (no data leakage) and zero token costs, once the model deployed. 👉 Stay tuned for more updates on the deployment: lnkd.in/ghBky783 #EdgeAI #reComputer #RKLLM #OpenClaw #ModelConversion #PrivacyAI #EmbeddedAI #Rockchip #theAIHardwarePartner #theEasierPowerfulComputer #reComputerRK #Qwen

🚀 One Command, Full Edge AI Agent Power 😉 We deployed #OpenClaw on our upcoming #reComputer #RK3576 (we're doing the pre-test before launch with dev samples) with just a single command—no complex setup, no tedious configurations required! Check the video below to see how we made this happen on our latest sample! Stay tuned for the official launch of reComputer RK3576! #theAIHardwarePartner #theEasierPowerfulComputer #reComputerRK #VisionAI #EdgeAI #RK3576 #RK3588 #OpenClaw #AIAgent

👏 Thrilled to share a promising update from our hardware testing – we’ve got our hands on the freshly-minted EVT samples of our upcoming @IloveRockchip #RK3576 Dev Kit! 🛠️ We wasted no time putting it to the test with the #YOLO11 model, and the initial results are impressive. 👏 This milestone reinforces our confidence in the RK3576 platform’s capability to support advanced AI models, and we’re excited to push further testing to unlock its full potential. Stay tuned for more updates as we refine more Rockchip-based products for launch! #RK3576 #DevKit #YOLO11 #AIHardware #EdgeAI #ComputerVision #HardwareTesting #reComputerRK #reComputerAILab #VisionAI #RK3588 #YOLO