Seeed Studio x Armbian: Official Collaboration to Enhance Linux Support for Rockchip-based reComputer RK platforms
July 24, 2026 — Seeed Studio is excited to announce an official collaboration with Armbian,
vision ai
Introducing reComputer RK3576/RK3588: Open Source Rockchip AI Boxes for Real-World AI Development
AI development is thriving fast. Developers are no longer looking for hardware that only runs
Vision AI & Voice AI at Embedded World 2026: Bringing AI Sensing from Concept to Reality
At Embedded World 2026 in Nuremberg, Seeed Studio showcased how edge AI is rapidly evolving
Improving Reachy Mini Assembly Quality with Seeed Studio reCamera PoE: Edge AI Vision Inspection for Smart Factory
Project Summary During the mass production of Reachy Mini, the manufacturing team identified a repetitive
Introducing XIAO Vision AI Camera: Compact, Smart, and Ready for Edge AI
We’re excited to announce the XIAO Vision AI Camera — a smart vision gadget built
IGNITE: TinyML Hands-on Workshop
On January 29, 2025, the IGNITE: TinyML Hands-on Workshop was successfully conducted at Vimalagiri Public
Introducing SenseCraft AI, Beginner-Friendly, Web-Based, No-Code Platform for AI Applications
Inspired by Google Teachable Machine and YOLO World, SenseCraft AI is a free, web-based platform designed for beginners, focuing on a no-code approach and an application-orientation. Our goal is to simplify and accelerate the creation of AI applications, making the process beginner-friendly and accessible to all.
New Product Post – Vision AI Sensor, Supporting LoRaWAN and RS485
Introducing two new products: IP66-rated Vision AI Cameras, supporting communication protocols of LoRaWAN, MODBUS RS485, and Wi-Fi.
Pharmaceutical Production with AI-Powered Process Monitoring
Hardware: reServer Industrial J4012, powered by NVIDIA Jetson Orin NX 16GB Use Case Provider: NeuroSYS
2024 reCamera reCap – AI Camera Growing on the Way
Dear All, It’s been four months since our tiny AI superstar, reCamera, first stepped into
WatchThis: A Wearable Point-and-Ask Interface Powered by Vision-Language Models and XIAO ESP32S3 Sense
MIT Media Lab researchers Cathy Mengying Fang, Patrick Chwalek, Quincy Kuang, and Pattie Maes have
Announcing Winners & Cool Projects of Seeed Studio Vision Challenge!
Discover the winners of the Seeed Studio Vision Challenge! After three thrilling months, we reveal the top projects using Grove Vision AI V2 Modules and XIAO ESP32C3 units. Explore innovative AI Computer Vision solutions in automation, conversation, home security, smart assistants, music composition, smart agriculture, and more.