Content for Arduino Nano 33 BLE Sense

Arduino Nano 33 BLE Sense

The Nano 33 BLE Sense (without headers) is Arduino’s 3.3V AI enabled board in the smallest available form factor: 45x18mm! The Arduino Nano 33 BLE Sense is an evolution of the traditional Arduino Nano, but featuring a lot more powerful processor, the nRF52840 from Nordic Semiconductors, a 32-bit ARM® Cortex™-M4 CPU running at 64 MHz. This will allow you to make larger programs than with the Arduino Uno (it has 1MB of program memory, 32 times bigger), and with a lot more variables (the RAM is 128 times bigger). The main processor includes other amazing features like Bluetooth® pairing via NFC and ultra low power consumption modes.

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Project  Beep Beep

Beep Beep

“In order to prevent colony collapse syndrome, we have created an autonomous embedded system to help beekeepers During our 4th year at Polytech Sorbonne, we took part in the conception and set-up of a monitoring embedded system applied on hives …

Project  Hive Monitoring

Hive Monitoring

“This project aims to monitor remotely the evolution of a bee colony, thanks to a connected system equipped with sensors of all kind. Story Since the end of the 90’s, a phenomenon known as Colony Collapsse Disorder, among honey …

Project  Smart Bike Suspension

Smart Bike Suspension

“An automatic suspension adjustment on a bicycle that able to understand the character of the terrain and the activities of the rider. In this project we use data from the motion sensor on the Arduino Nano 33 BLE Sense which …

Project  Early detection of workers falls with Machine Learning

Early detection of workers falls with Machine Learning

“Fall detection prototype with Arduino clients, Raspberry Pi server and Machine Learning. “I’m going, down, down, down, down, down. Yes, I’ve got my feet in the window. Got my head on the ground” Going down (Freddie King) Falls …

Project  DIY Fitness Tracker(GET-FIT)

DIY Fitness Tracker(GET-FIT)

“Introducing GetFit, your ultimate health and workout partner. GetFit is an easy-to-use, teachable fitness tracker with the capability of detecting an endless variety of exercises. Powered by Arduino Nano 33 BLE Sense and Edge Impulse, it is a completely open-source …

Project  Embedded Machine Learning for Person Detection

Embedded Machine Learning for Person Detection

“Is easy to run large Machine Learning models in the cloud with large computational and memory resources. What about in the Arduino Nano? Deep Learning Workflow In this project, the steps followed to implement our person detection application are the …

Project  Classify Music Genre with Arduino Nano 33 BLE Sense

Classify Music Genre with Arduino Nano 33 BLE Sense

“This project can automatically classify three different musical genres (i.e., classical, metal, and reggae) from device-playing music files. Dataset Music can be classified into genres in a variety of ways, including rock, pop, religious, and secular music. This project …

Project  How to monitor a beehive with Arduino Nano 33BLE (bluetooth)

How to monitor a beehive with Arduino Nano 33BLE (bluetooth)

“You have a beehive and you want to optimise your interventions ? Checkout our project where we embed sensors in the beehive. Our team was led to rub shoulders with beekeepers and after few exchanges some issues appeared. Indeed, beekeepers do …

Project  Water pH Monitoring for Hydroponic Plant

Water pH Monitoring for Hydroponic Plant

“Sense the water pH of a hydroponic plant with Arduino Nano 33 BLE Sense and determine if it’s right using an Edge Impulse trained model. Introduction I’ve had a hydroponic plant for two years now, and everything went …

Project  Battery Life Cycle Predictor Powered by Edge Impulse

Battery Life Cycle Predictor Powered by Edge Impulse

“A TinyML model to predict the Lithium Ion battery’s life cycle within shorter time using Edge Impulse. To predict the Life cycle of Lithium Ion battery, there are many methods are available. one of the common method is by …