As anyone who has taken care of chickens or other poultry before will tell you, it can be backbreaking work. So why not build a robot to do all the hard work for us? That’s precisely what [Aktar Kutluhan] demonstrated with an AI-powered IoT system that automatically feeds chicks and monitors unhatched eggs.
Make no mistake, hens are adorable, feathered creatures, but they can be quite finicky. An egg’s weight, size, and frequency can determine the overall health of a hen, and they can stop laying eggs altogether if something as simple as their feeding schedule is too sporadic. This is precisely what inspired [Aktar] to create a system that can feed hens at a consistent time every day while keeping track of the eggs laid to ensure the coop is happy and healthy.
What’s so impressive about this build isn’t just the clever automation that scratches off a daily chore, it’s built completely with IoT devices, including the AI. The setup uses Edge Impulse as an object detection model on an OPenMV Cam H7 microcontroller to recognize eggs in the coop. From there, an WizFi360-EVB-Pico board was attached so data could be sent over WiFi, with a DHT22 thrown in to monitor and record the overall temperature of the coop.
This is already an amazing setup, but when it comes to IoT devices, the sky’s the limit. You could control heat lamps in larger coops, automatically refill a water bowl if the hens’ water is low, or even build a hands-off incubator. We’re only just beginning to see the clever ways with which AI can help monitor our pet’s health. Just look at how another hacker used AI to monitor cat poop to make sure their furry friend wasn’t eating plastic. Thanks to [Aktar Kutluhan] for showing us more ways we can use AI to help our pets!
Continue reading “Lending A Helping Hand To Hens With AI”
Going from a microcontroller blinking an LED, to one that blinks the LED using voice commands based on a data set that you trained on a neural net work is a “now draw the rest of the owl” problem. Lucky for us, Shawn Hymel walks us through the entire process during his Tiny ML workshop from the 2020 Hackaday Remoticon. The video has just now been published and can be viewed below.
This is truly an end-to-end Hello World for getting machine learning up and running on a microcontroller. Shawn covers the process of collecting and preparing the audio samples, training the data set, and getting it all onto the microcontroller. At the end of two hours, he’s able to show the STM32 recognizing and responding to two different spoken words. Along the way he pauses to discuss the context of what’s happening in every step, which will help you go back and expand in those areas later to suit your own project needs.
Continue reading “Remoticon Video: How To Use Machine Learning With Microcontrollers”
Catch up on the past week of hacks with Hackaday Editors Elliot Williams and Mike Szczys. “AI on the Edge” is the buzzword of choice lately, with hardware offerings from BeagleBone and Google to satiate your thirst. We take on spotty data from Tesla, driving around on four bouncy-houses, reverse engineering a keytar, unearthing a gem of a dinosaur computer, and MIPI DSI display hacking. There are tips for getting better at commenting code, and making your computer do your algebra homework.
Links for all discussed on the show are found below. As always, join in the comments as we’ll be watching those as we work on next week’s episode!
Take a look at the links below if you want to follow along, and as always, tell us what you think about this episode in the comments!
Direct download (60 MB or so.)
Continue reading “Hackaday Podcast 009: On The Edge Of AI, Comment Your Code, Big Big Wheels, And Makers Of Munich”