Important Update: End of Life Announcement for Seeed IoT Button For AWS
Dear Seeed Studio customers, we’re sharing important news about the Seeed IoT Button For AWS(102991334).
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AI Model Development and Deployment on the Edge: All in One-Jetson
In the rapidly developing field of Machine Learning, training AI models is a familiar yet
Empowering Efficiency: How Raspberry Pi Transforms Indoor Energy Management
Summary “Around the globe, there is a great need to save energy, which impacts prices,
Revolutionizing Remote Control: Explore Micromote, an ESP-NOW Based Gesture Remote with XIAO ESP32S3 and Smart Gesture Sensor
Discover “MicroMote,” a revolutionary device that empowers you to take control of your smart devices with the wave of your hand! Seeed Hardware: Seeed Studio XIAO ESP32S3, Grove-Smart IR Gesture Sensor Software: Arduino IDE, Autodesk Fusion
Raspberry Pi-enabled Innovation: Cutting-Edge Fire Detection and Prevention System Driving Extensive Industrial Applications
Summary In Texas, an innovative engineer, Jordan Broome, has developed a unique approach to fire monitoring and
Exploring the Diverse World of Raspberry Pi Cameras: Variations, Applications, and OpenCV Integration
Introduction In the ever-evolving landscape of single-board computers, the Raspberry Pi has emerged as a
Simplify Your Large-scale Edge AI Deployment on NVIDIA Jetson Orin with Scailable
Bring Edge AI solution to the next step has one crucial point initially – the
Hazard Response Mission Pack: October Workshops Recap
As you may recall, Seeed launched a Kit adressing environmental disasters and emergencies. That was
Empowering Travel Safety with XIAO ESP32S3 Sense, Round Display for XIAO, and TinyML: AI-Driven Keychain Detection for Instant Alerts and Location Request
Updated on Feb 28th, 2024 Introducing an AI-powered BLE Travel Emergency Assistant utilizing XIAO ESP32S3
Autonomous Shuttle Bus at University of Waterloo: AI-powered Driving Environmental and Traffic Perception
Hardware: reComputer J4012 with NVIDIA Jetson Orin NX module Use Case Provider: University of Waterloo Application: Environmental Perception
Enhancing Neonatal Care with mmWave and IoT-Based Real-Time Incubator Monitoring System
Explore this neonatal incubator monitoring system, utilizing environmental and mmWave sensors to track the incubator’s
Deploy CLIP Zero-shot Classification on Jetson Orin – Fast Locate and Categorize Data without Training
The traditional method of image classification is quite time and resource-consuming. It requires more than