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  • Testing the M TRS5 60B Thermal Sensor on the 3D Printer

    /challenges-projects/design-challenges/experimenting-with-thermal-switches/b/challenge-blog/posts/3d-printer-thermal-runaway-thermistor-tester-3---testing-the-ohd1-50b-and-m-trs5-60b-thermal-sensors
    • https://youtube.com/watch?v=nW3ZxKZU-X8
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  • Testing the OHD1 50B and M TRS5 60B Thermal Sensors on the 3D Printer

    Pending ...
    • https://youtube.com/watch?v=uXmA1FzTfSU
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  • Simple Test of the OHD1 50B and M TRS5 60B Thermal Sensors

    Pending ...
    • https://youtube.com/watch?v=iVvdbB0lyzw
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  • Testing the OHD1 50B Thermal Sensor on the 3D Printer

    Pendig ...
    • https://youtube.com/watch?v=dFtdyJn-cAQ
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  • Object Classification - Nano 33 BLE Sense with OV7670 Camera

    This is a continuation of my post: Arduino Nano 33 BLE Sense with OV7670 Camera . I wanted to do a quick evaluation of the performance on a deployed object classification model. I decided to develop a simple model to identify 3 fairly distinct hardware…

  • Arduino Nano 33 BLE Sense with OV7670 Camera

    I've been looking for a camera board that I could use with the PSoC 62S2 dev board for the Low Power IoT challenge. This dev board does not have a dedicated camera interface and I haven't seen any examples using a camera. vlasov01 suggested that I look…

  • Connecting Arduino Nano 33 BLE Sense to Edge Impulse

    This video shows how to connect an Arduino Nano 33 BLE Sense to Edge Impulse, by flashing the latest firmware and using the Edge Impulse CLI to configure the device. Step by step instructions and tutorials on building your first machine learning m...
    • https://youtube.com/watch?v=wOkMZUaPLUM
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  • Building a Continuous Motion Recognition System with Embedded Machine Learning

    In this tutorial we show you how to build a machine learning system that can detect continuous motion, how to sample data from real devices, how to design a signal processing pipeline, and how to deploy the model back to the device. This video acc...
    • https://youtube.com/watch?v=FseGCn-oBA0
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  • Using SensiML with Arduino Nano 33 BLE Sense - WiFi Bridge

    I want to start doing data collection "untethered", so I've been looking at how SensiML has implemented data capture over WiFi and BLE. In order to do data capture over WiFi, SensiML uses a ESP32 UART to HTTP bridge. Instructions for doing this are located…

  • Using SensiML with Arduino Nano 33 BLE Sense - Model Deployment

    This is a continuation of my previous post Using SensiML with Arduino Nano 33 BLE Sense - Additional Model Testing . Now that a model has been built and tested, it's time to deploy it to the device. Start within Analytics Studio using Download Model:…

  • Using SensiML with Arduino Nano 33 BLE Sense - Additional Model Testing

    This is a continuation of my previous post Using SensiML with Arduino Nano 33 BLE Sense - Model Development . I had suggested in my previous post that I thought the poor performance of my model was due to trying to classify multiple items within a single…

  • Using SensiML with Arduino Nano 33 BLE Sense - Model Development

    This is a continuation of my previous post Using SensiML with Arduino Nano 33 BLE Sense - Data Capture . In preparation to building a model in Analytics Studio, I needed to capture a larger dataset using Data Capture Lab. I am going to try to recognize…

  • Using SensiML with Arduino Nano 33 BLE Sense - Data Capture

    This is a continuation of my previous post SensiML Toolkit for TinyML . I watched all of the 10 videos of the Quick Start Tutorial Series and while they were informative, I found them to be a bit disjointed because they did not follow a single project…

  • SensiML Toolkit for TinyML

    While I've been recuperating from a back injury, I found an interesting tutorial series for SensiML on YouTube: Quick Start Tutorial Series . The 10 videos take about an hour total. A good binge watch with the dog . SensiML, a subsidiary of QuickLogic…

  • Wio Terminal Sensor Fusion - TinyML Keyword Spotting Part 1

    Sensors Enter Your Electronics & Design Project for a chance to win a $200 shopping cart! Submit an Entry Submit an Entry Back to homepage Project14 Home Monthly Themes Monthly Theme Poll As part of my sensors project I thought that I would use voice…

  • BLE on Arduino Nano 33 BLE Sense - Flask Remote Control

    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…

  • Nano Rocket #1 : Hand Thrown with TTL Serial Communications

    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 Entry Submit an Entry Back to homepage Project14 Home Monthly Themes Monthly Theme Poll The original…

  • BLE on Arduino Nano 33 BLE Sense - BlueZ Connect

    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…

  • Arduino Taking Over Ownership of Google Science Journal

    This was posted in Embedded Computing Design, but as of September 2020, Arduino will take over Google's Science Journal. All updates to the Google app will stop on December 11th, 2020. The Arduino Science Journal will include support for the Arduino Nano…