Nano 33 BLE Sense Archives | Page 7 of 9

This low-cost device uses tinyML on Arduino to detect respiratory diseases in pigs

One major drawback to the largescale farming of animals for meat consumption is the tendency for diseases to spread rapidly and decimate the population. This widespread issue is what drove Clinton Oduor to build a tinyML-powered device that can perform precision livestock farming tasks intelligently. His project works by continuously monitoring the noise coming from pigs and makes a […]

Boards:MKR FOX 1200 Nano 33 BLE Sense

Categories:Arduino Machine Learning

Use tinyML on the Nano 33 BLE Sense to classify different bird calls

There are thousands of bird species in the world, with numerous different and unique ones living in various areas. Developers Errol Joshua, Mahesh Nayak, Ajith K J, and Supriya Nickam wanted to build a simple device that would allow them to automatically recognize the feathered friends near them and do some simple tracking, such as […]

Boards:Nano 33 BLE Sense

Categories:Arduino Machine Learning

This pocket-sized uses tinyML to analyze a COVID-19 patient’s health conditions

In light of the ongoing COVID-19 pandemic, being able to quickly determine a person’s current health status is very important. This is why Manivannan S wanted to build his very own COVID Patient Health Assessment Device that could take several data points from various vitals and make a prediction about what they indicate. The pocket-sized system features a Nano […]

Boards:Nano 33 BLE Sense

Categories:Arduino Machine Learning

PUPPI is a tinyML device designed to interpret your dog’s mood via sound analysis

Dogs are not known to be the most advanced communicators, so figuring out what they want based on a few noises and pleading looks can be tough. This problem is what inspired a team of developers to come up with PUPPI — a small device that utilizes tinyML to interpret your canine companion’s mood through vocal […]

Boards:Nano 33 BLE Sense

Categories:Arduino Machine Learning

This system uses machine learning and haptic feedback to enable deaf parents to communicate with their kids

For the hearing impaired, communicating with others can be a real challenge, and this is especially problematic when it is a deaf parent trying to understand what their child needs, as the child is too young to learn sign language. Mithun Das was able to come up with a novel solution that combines a mobile app, […]

Boards:Nano 33 BLE Sense

Categories:Arduino

Epilet is a tinyML-powered bracelet for detecting epileptic seizures

Epilepsy can be a very terrifying and dangerous condition, as sufferers often experience seizures that can result in a lack of motor control and even consciousness, which is why one team of developers wanted to do something about it. They came up with a simple yet clever way to detect when someone is having a convulsive […]

Boards:Nano 33 BLE Sense

Categories:Arduino Machine Learning

TapLock uses tinyML on Arduino to protect your bike from thieves

Bike locks have not changed that much in the last few decades, even though our devices have gotten far smarter, so they seem in need of an update. Designed with this in mind, the TapLock is able to intelligently lock and unlock from either Bluetooth or taps on the enclosure. It uses a Nano 33 BLE Sense to […]

Boards:Nano 33 BLE Sense

Categories:Arduino Machine Learning

Customizable artificial intelligence and gesture recognition

Fraunhofer IMS set itself the task of training an AI to recognize gestures with very limited resources. And they succeeded.

Boards:Nano 33 BLE Sense

Categories:Arduino Featured Machine Learning Processing Research

Optimizing a low-cost camera for machine vision

In this deep dive article, performance optimization specialist Larry Bank (a.k.a The Performance Whisperer) takes a look at the work he did for the Arduino team on the latest version of the Arduino_OV767x library. Arduino recently announced an update to the Arduino_OV767x camera library that makes it possible to run machine vision using TensorFlow Lite […]

Boards:Nano 33 BLE Sense

Categories:Arduino Featured Machine Learning

Build your own Google Assistant using tinyML

Smart speakers are amazing devices, able to answer a near-infinite array of questions, as well as offer a variety of AI services. As shown in this project write-up by Marcelo Rovai, you can emulate a Google Assistant with Raspberry Pi and ReSpeaker 2-Mics Pi HAT, which can be triggered to “wake” and respond to your voice […]

Boards:Nano 33 BLE Sense

Categories:Arduino Machine Learning

Nano 33 BLE Sense Category

This low-cost device uses tinyML on Arduino to detect respiratory diseases in pigs

Use tinyML on the Nano 33 BLE Sense to classify different bird calls

This pocket-sized uses tinyML to analyze a COVID-19 patient’s health conditions

PUPPI is a tinyML device designed to interpret your dog’s mood via sound analysis

This system uses machine learning and haptic feedback to enable deaf parents to communicate with their kids

Epilet is a tinyML-powered bracelet for detecting epileptic seizures

TapLock uses tinyML on Arduino to protect your bike from thieves

Customizable artificial intelligence and gesture recognition

Optimizing a low-cost camera for machine vision

Build your own Google Assistant using tinyML

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