NVIDIA Jetson with Autodistill: Deploy Computer Vision with Efficient Auto-labeling Method
Before releasing the power of the Jetson Edge device for AI inferencing and processing, there’s
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Smart Building Metering Made Easy: BeagleBone® Green-based Solution for Real-time Monitoring and Optimization
Project Introduction The BeagleBone® Green-based customization solution collects real-time data for residential and factory water,
Complete the GPS Tracker Survey for a Chance to Win Big!
Updated on Oct. 17: Meet The Winners of The GPS Tracker Survey Giveaway 🎉Before launching
Seeed’s NVIDIA Jetson Platform to Be Manufactured in Vietnam
Get some context about our Made With Vietnam Episodes:Open Manufacture: How We Manufacture Seeed Studio
Seeed Monthly Wrap-up for July
Seeed Monthly for July highlights 4 groundbreaking news stories, 6 fascinating industrial case studies, 5 product and tech updates, 4 Seeed Wikis and 4 inspiring projects.
Solar-Powered Water Quality Monitor Built With XIAO RP2040
This solar-powered water quality monitoring system by Justin Lutz is to combat the toxic blue-green
Cellular-Connected DIY Lab Incubator Monitoring System using XIAO RP2040
This cellular-connected DIY lab incubator monitoring system by Naveen aims to grant users effortless access
Developing Vision AI Application with NVIDIA DeepStream Graph Composer
Imagine the workflow of developing a video analytics application, there should be a programming pipeline
Open Manufacture: How We Manufacture Seeed Studio BeagleBone Green in Vietnam
Hey community, On July 12th, we proudly announced that the first batch of the
Exploring the Fusion of AI and Raspberry Pi-powered reTerminal for Smarter Content Creation
Introduction In today’s digital age, where information is abundant and attention spans are short, businesses
Deploy YOLOv8 models on NVIDIA Jetson using TensorRT
Ultralytics YOLOv8 is a cutting-edge, state-of-the-art (SOTA) model that builds upon the success of previous YOLO versions
What is FastSAM: How to Segment Anything on the Edge?
FastSAM was born to tackle the issue of the substantial computational resource requirements associated with