
Micro-city Advanced Perception and Decision-making Assistance System
Nantou Ancient Town Revitalization Nantou Ancient Town, located in Shenzhen City’s Nanshan District, Guangdong Province,

The Smart Food Container with Quality and Volume Monitoring with Home Assistant
Introduction In the demanding life of a working mother, managing household tasks, work, and parenting

Bring Optics to Life, Expand Perception Network to the Microscopic Level
Microscopy is widely used in biology, medicine, physics, and material science to enable scientists to

Winter Wonderland of Savings: Shop with Fusion!
Enjoy 20% Off Storewide at Fusion
As we inch closer to the holiday season, we would like to express our heartfelt

Celebrating 15 Years of Seeed Studio: Announcing Coupon Winners!
At Seeed Studio, we’ve always believed that our community of makers and innovators is at

Snake Recognition System: Harnessing LoRaWAN and XIAO ESP32S3 Sense for TinyML
Updated on Feb 28th, 2024 Snakes often pose a danger on farms, especially those with

Seeed Studio Expands Global Footprint with New Offices in the US and EMEA
[Shenzhen, 31/10/2023] – Seeed Studio, a leading provider of open-source hardware and IoT solutions, is

IOT303 | Asset Tracking Workshop at AWS re:Invent
Join us at AWS re:Invent in Las Vegas for the IOT303 Asset Tracking Workshop, a collaborative effort by Amazon, Semtech and Seeed. This hands-on workshop will unlock the potential of Amazon Sidewalk and AWS Location Service, giving you the skills to build an asset tracking application. Explore the powerful Seeed Studio Wio Tracker 1110 Dev Kit and harness LoRa technology, AWS IoT Core, and Amazon Location Service to revolutionize asset tracking. Learn from experts, including Zach Elliott and Ben Cooke, and gain key takeaways, such as collecting location data from sensors, secure data transmission, and precise asset positioning

What is MiniGPT-4? A Deep Dive and Deploy on Jetson Orin
For complex computer vision tasks, we usually require machines not only to interpret complex visual