Arduino Nano 33 BLE

The Arduino Nano 33 BLE is a completely new board on a well-known form factor. It comes with an embedded 9 axis inertial sensor what makes this board ideal for wearable devices, but also for a large range of scientific experiments in the need of short-distance wireless communication. The Arduino Nano 33 BLE 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. The Nano 33 BLE comes with a 9 axis inertial measurement unit (IMU) which means that it includes an accelerometer, a gyroscope, and a magnetometer with 3-axis resolution each. This makes the Nano 33 BLE the perfect choice for more advanced robotics experiments, exercise trackers, digital compasses, etc.

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Project  Arduino Nano 33 BLE OV7670 Camera Shield

Arduino Nano 33 BLE OV7670 Camera Shield

“Embedded machine vision board, make your robotics ML enable. Arduino Nano 33 BLE processing capacity is moderately high for the low power consumption embedded system. Since it has many sensors on board, it seems to be very fun to run …

Project  Sound Spectrum Visualizer with Arduino Nano 33 BLE

Sound Spectrum Visualizer with Arduino Nano 33 BLE

“Visualize sound frequencies spectrum with an OLED 128x32 display, Arduino Nano 33 BLE and an electret microphone amplifier (MAX9814). See how a bar graph respond to music and sound in a little OLED display. Lowest frequencies toward the left end …

Project  TinyML Keyword Detection for Controlling RGB Lights

TinyML Keyword Detection for Controlling RGB Lights

“Train a TensorFlow model to recognize certain keywords and control an RGB light strip using an Arduino Nano 33 BLE Sense. The Premise Machine learning at the edge is extremely useful for creating devices that can accomplish “intelligent” tasks with …

Project  Robot Fall Detection with Edge Impulse

Robot Fall Detection with Edge Impulse

“How do you tell the difference between a fall and a sudden, normal movement? Train a machine learning model to detect when a fall occurs. The Idea Imagine creating a simple robot that can navigate around a room on its …

Project  Determining a Plant’s Health with TinyML

Determining a Plant’s Health with TinyML

“Scan the leaves of a plant with an Arduino Nano 33 BLE Sense and train a model to detect if it’s diseased. Just like humans, plants can become diseased too. And just like how you might develop a rash …

Project  Spectrino: TinyML Arduino & IoT Based Touch-Free Solutions

Spectrino: TinyML Arduino & IoT Based Touch-Free Solutions

“Spectrino - Arduino devices that can be implemented on a wide spectrum of touch-free tinyML based housing and society systems. The pandemic has introduced a constraint to social interaction: distance. Considering this factor of risk, countries all over the world have …

Project  Machine Learning with Nano BLE 33 & Raspberry Pi

Machine Learning with Nano BLE 33 & Raspberry Pi

“In this project we take a look at making the Arduino Nano 33 BLE learn a few gestures and how to integrate it with a game! First of all, I would like to give credit to Arduino Team for providing …

Project  Smartglove for Cyclists

Smartglove for Cyclists

“In this instructable, I will detail how I made this “smartglove” and its LED panel so that cyclists or other road users can ride/drive safer. How it works: The glove is made with an Arduino board that collects data …

Project  Simple machine learning with Arduino KNN

Simple machine learning with Arduino KNN

“Machine learning (ML) algorithms come in all shapes and sizes, each with their own trade-offs. We continue our exploration of TinyML on Arduino with a look at the Arduino KNN library. In addition to powerful deep learning frameworks like TensorFlow …

Project  Bluetooth Low Energy: Subscription to a Service

Bluetooth Low Energy: Subscription to a Service

“An example of how to subscribe to a characteristic of a service. In this tutorial we are going to see an example of using Bluetooth Low Energy technology using the Arduino MKR WiFi 1010 and Arduino Nano 33 BLE Sense …