There are a lot of very good reasons to monitor local environmental conditions, especially as they pertain to climate change research and various ecological protection initiatives. But doing so in urban locales is a challenge, as simply mounting a device can be difficult. That’s why a team from MIT’s Senseable City Lab built Octopus, which […] The post MIT’s Octopus is a delightful environmental sensor for urban deployment appeared first on Arduino Blog.| Arduino Blog
Build voice control app with XIAO-ESP32-S3-Sense and Edge Impulse. Switch LEDs via voice commands using a TinyML keyword spotting model.| Makerguides.com
In this tutorial you will learn how to train an Object Detection Model with Edge Impulse for the ESP32-CAM. The data collection, data labelling and … The post Train an Object Detection Model with Edge Impulse for ESP32-CAM appeared first on Makerguides.com.| Makerguides.com
Edge AI to detect the number of persons in a room (occupancy) using a XIAO ESP32-S3-Sense and an ESP32 lite| Makerguides.com
Heating isn’t just about comfort in very cold regions in the world, it is absolutely critical. If your home’s heat fails when you’re away, you might get back to find burst pipes. That’s especially problematic for large apartment buildings that rely on central boilers and radiators in the units. Manivannan’s Arduino-based edge solution leverages AI […]| Arduino Blog
A new breed of tiny, hyper-efficient AI is revolutionizing space, extending satellite life and unlocking the next great era of autonomous exploration. The post Machine learning in space: Building intelligent systems for the harshest environments first appeared on TechTalks.| TechTalks
Let’s raise our glasses to a better future using Edge AI and TinyML for a more convenient and fun life. Think of a situation where your toaster can tell you before the toast burns, or the headphones can adjust the noise cancellation depending on how stressed you are. That’s the future enabled by Edge AI| Sify