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.

AI Audio Classifier Recycle Bin

“Recycle Bin that sorts rubbish based on the sound of collision using Edge AI audio classification. According to the Commonwealth Scientific and Industrial Research Organisation (CSIRO) in NSW, it is predicted that about 50% of all waste could be recycled …

Harmonic Sounds - A Symphony of Sustainable Recycling

“In a world grappling with environmental challenges, innovative solutions that merge cutting-edge technology with sustainability are the need Story The AI Audio Classifier Recycle Bin is an innovative project that combines artificial intelligence and smart recycling technology. The goal of …

IoT-Based Remote Patient Monitoring System to Measure Vital

“When we are talking about major vital signs of a human body, there are four major parameters that we need to be aware of, they are body temp When we are talking about major vital signs of a human body …

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 …

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 …

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 …

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 …

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 …

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 …

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 …