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Embedded

By: Logical Elegance
  • Summary

  • I am Elecia White alongside Christopher White. We’re here to chat about the interests, careers, and lives of engineers, artists, educators and makers. Our diverse guest list includes names you may have heard and engineers working quietly in the trenches. Either way, they are knowledgeable, enthusiastic, and inspiring. We’d love to share our enthusiasm for science, technology, engineering, art, and math (STEAM).
    2013-2023 Logical Elegance, Inc.
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Episodes
  • 479: Make Your Voice Heard
    Jun 13 2024

    Carles Cufí spoke with us about Zephyr, Nordic, learning, open source development, and corporate goals.

    Carles had some great suggestions for learning Zephyr:

    • Memfault Interrupt Practical Zephyr blog series

    • Nordic’s Developer Academy

    • Zephyr’s Discord server

    • Zephyr’s YouTube channel (@ZephyrProject), sorted by views

      • Macrobatics term is from Zephyr Devicetree Mysteries, Solved - Marti Bolivar, Nordic Semiconductor

    There is also the Zephyr website for a full picture. And various Nordic tutorials (see nRF5340 Audio applications).

    Carles was an author on Getting Started with Bluetooth Low Energy: Tools and Techniques for Low-Power Networking. The cover animal is a mousebird.

    Transcript

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    1 hr and 5 mins
  • 478: The Map Is Not the Territory
    May 30 2024

    Jan Rychter joined us to talk about building a company, electronic components, and software design.

    Jan is the founder and engineer at PartsBox.com. If you are interested in the meta-analysis of the data, check out his article on the Top Ten Hobby Parts and the Electronic Component Database,

    You can find out more about Jan through his website (jan.rychter.com), LinkedIn, or Mastodon.

    Transcript

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    55 mins
  • 477: One Thousand New Instructions
    May 16 2024

    Kwabena Agyeman joined Chris and Elecia to talk about optimization, cameras, machine learning, and vision systems.

    Kwabena is the head of OpenMV (openmv.io), an open source and open hardware system that runs machine learning algorithms on vision data. It uses MicroPython as a development environment so getting started is easy.

    Their github repositories are under github.com/openmv. You can find some of the SIMD details we talked about on the show:

    • 150% faster: openmv/src/omv/imlib/binary.c

    • 1000% faster: openmv/src/omv/imlib/filter.c

    • Double Pumping: openmv/src/omv/modules/py_tv.c

    Kwabena has been creating a spreadsheet of different algorithms in camera frames per second (FPS) for Arm processors: Performance Benchmarks - Google Sheets. As time moves on, it will grow. Note: this is a link on the OpenMV website under About. When M55 stuff hits the market expect 4-8x speed gains.

    The OpenMV YouTube channel is also a good place to get more information about the system (and vision algorithms).

    Kwabena spoke with us about (the beginnings of) OpenMV on Embedded 212: You Are in Seaworld.

    Transcript

    Elecia is giving a free talk for O'Reilly to advertise her Making Embedded Systems, 2nd Edition book. The talk will be an introduction to embedded systems, geared towards software engineers who are suddenly holding a device and want to program it. The talk is May 23, 2024 at 9:00 AM PDT. Sign up here. A video will be available afterward for folks who sign up.

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    1 hr and 24 mins

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