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5 Posts authored by: jomoenginer
NanoRama Enter Your Project for a chance to win a Nano Grand Prize bundle for the most innovative use of Arduino plus a $400 shopping cart! Submit an EntrySubmit an Entry  Back to homepage Project14 Home Monthly Themes Monthly Theme Poll   Overview One of the advantages of using a small device such as the Arduino Nano BLE Sense with TinyML is that it could be used as a remote low powered sensor to detect movement or even if there is a person in the area or not.  This example use ...
Overview  There are many ways to interact with the Arduino Nano 33 BLE Sense including over a serial interface, an LCD, command line, GPIO and so on. However, these either require a physical device connected to the Nano 33 or typing manual commands.  One easy method to create an remote interface to a device is to use Flask running on a system that can run Python.  Flask provides web server functionality via a microframework and can be configured using Python and interact with HTM ...
Overview   The Arduino 33 BLE Sense, outside of the many sensors available on the board, is based on the UBLOX NINA B306 which includes a Nordic nRF52840, made from a 32-bit ARM® Cortex™-M4 CPU running at 64 MHz.  The UBLOX NINA B306 provides both Bluetooth 5 and BLE support.   The BLE feature will be used in this exercise.   Related Posts BLE on Arduino Nano 33 BLE Sense - Flask Remote Control References:     Arduino Nano 33 BLE Sense htt ...
NanoRama Enter Your Project for a chance to win a Nano Grand Prize bundle for the most innovative use of Arduino plus a $400 shopping cart! Submit an EntrySubmit an Entry  Back to homepage Project14 Home Monthly Themes Monthly Theme Poll   Overview In the previous example, the Arduino Nano 33 BLE Sense LSM9DS1 IMU motion, vibration and orientation sensor was used to gather movement data and transform that into a TensorFlow Lite model to identify specific movements.  In this post ...
NanoRama Enter Your Project for a chance to win a Nano Grand Prize bundle for the most innovative use of Arduino plus a $400 shopping cart! Submit an EntrySubmit an Entry  Back to homepage Project14 Home Monthly Themes Monthly Theme Poll   Overview  This is to chronicle my experience with running TinyML on the Arduino 33 BLE Sense.   I initially followed the TensorFlow Lite for Microcontrollers examples using a STM32F746G Discovery kit, but moved to the Arduino TinyML Wor ...