A screenshot of the release page, showing the headline and a crop of the release notes

MicroPython 1.23 Brings Custom USB Devices, OpenAMP, Much More

MicroPython is a wonderful Python interpreter that runs on many higher-end microcontrollers, from ESP8266 to STM32 to the RP2040. MicroPython lets you build devices quickly, and its latest release, 1.23, brings a number of improvements you should be aware of.

The first one is custom USB device support, and it’s a big one. Do you want to build HID devices, or play with MIDI, or do multiple serial streams with help of PIO? Now MicroPython lets you easily create USB devices on a variety of levels, from friendly wrappers for creating HID or MIDI devices, to low-level hooks to let you define your own USB descriptors, with user-friendly libraries to help all the way through. Currently, SAMD and RP2040 ports are supported in this part of code, but you can expect more in the future.

Hooray to 10 years of MicroPython!

There’s more – support for OpenAMP, an inter-core communication protocol, has received a ton of improvements for systems where MicroPython reigns supreme on some of the CPU cores but also communicates with different systems on other cores. A number of improvements have made their way through the codebase, highlighting things we didn’t know MicroPython could do – for instance, did you know that there’s a WebAssembly port in the interpreter, letting you run MicroPython in your browser?

Well, it’s got a significant overhaul in this release, so there’s no better time to check it out than now! Library structure has been refactored to improve CPython compatibility, the RP2040 port receives a 10% performance boost thanks to core improvements, and touches upon areas like PIO and SPI interfaces.

We applaud all contributors involved on this release. MicroPython is now a decade old as of May 3rd, and it keeps trucking on, having firmly earned its place in the hacker ecosystem. If you’ve been playing with MicroPython, remember that there are multiple IDEs, graphics libraries, and you can bring your C code with you!

Don’t Object To Python Objects

There’s the old joke about 10 kinds of programmers, but the truth is when it comes to programming, there are often people who make tools and people who use tools. The Arduino system is a good example of this. Most people use it like a C compiler. However, it really uses C++, and if you want to provide “things” to the tool users, you need to create objects. For example, when you put Serial in a program, you use an object someone else wrote. Python — and things like Micropython — have the same kind of division. Python started as a scripting language, but it has added object features, allowing a rich set of tools for scripters to use. [Damilola Oladele] shows the ins and outs of object-oriented Python in a recent post.

Like other languages, Python allows you to organize functions and data into classes and then create instances that belong to that class. Class hierarchies are handy for reusing code, customizing behavior, and — through polymorphism — building device driver-like architectures.

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A Raspberry Pi in an enclosure, connected to a stepper motor controller and a UMTS stick

2024 Home Sweet Home Automation: SMS Controlled Heating

Hackaday.io user [mabe42] works during the week away from their home city and rents a small apartment locally to make this life practical. However, the heating system, a night-storage system, is not so practical. They needed a way to remotely control the unit so that the place was habitable after a long winter commute; lacking internet connectivity, they devised a sensible solution to create an SMS-controlled remote heating controller.

The controller runs atop an old Raspberry Pi B inside a 3D-printed case. Seeing such an old board given a real job to do is nice. Connectivity is via a USB UMTS stick which handles the SMS over the cellular network. The controller knob for the heater thermostat (not shown) is attached via a toothed belt to a pully and a 28BYJ-48 5V geared stepper motor. Temperature measurement is via the ubiquitous DS1820 module, which hooks straight up to the GPIO on the Pi and works out of the box with many one-wire drivers.

The software is built on top of Gammu, which handles the interface to the UMTS device. Daily and historical temperature ranges are sent via SMS so [mabe42] can decide how to configure the heating before their arrival. The rest of the software stack is in Python, as per this (German-language) GitHub project.

While we were thinking about storage heating systems (and how much of a pain they are), we came across this demonstration of how to build one yourself.

A raspberry pi-based digital readout above an old lathe

Roll Your Own DRO With An Added Twist

When using a manual machine tool such as a lathe or milling machine, there can be a lot of pressure to read the position and feed the axes at the correct rate. That’s why modern machines typically have some form of digital read-out (DRO). [Stefano Bertelli] has created a simple Raspberry Pi based DRO with an additional twist, that of a linked motor drive output.

A view of the custom RS485 interfaced DRO readout and motor controller
Realtime encoder position reading and motor control are best done with a dedicated microcontroller, ideally with a proper RTOS.

The axes that need to be monitored should be mechanically attached to a position sensor like a linear encoder or a rotary type. Using a linear sensor with a linear axis instead of a rotary encoder on the downstream dial is better. For the readout unit, [Stefano] used a WaveShare 7-inch touchscreen module with a Raspberry Pi 3 for the UI of the readout unit. The Pi has a custom-designed HAT, that performs power conditioning and provides a robust RS485 interface. Connected via that RS485 link is another custom PCB based on an STM32F411 with a few supporting power supplies and interfacing components. The job of this board is to interface to the position encoders, reading positioning pulses using interrupts. There is an additional stepper motor drive courtesy of a ULN2003 Darlington driver to allow the control of a single motorised axis. An additional motor driver module is required, which should be no surprise since driving a milling machine axis will require a fairly beefy motor. This GitHub repo contains the FreeRTOS-based firmware for this board. This motor drive has the ability to be connected to a measuring axis in a programmable way, enabling one axis to be adjusted to follow or jump in controlled steps with another. This feature can significantly simplify certain types of machining operations, as [Stefano] elaborates in the video.

Lastly, the Raspberry Pi runs a simple Python application with Kivy for the GUI. As [Stefano] explains in the video below, this makes debugging and modification quite simple.

Adding DROs to an older machine is an obvious but valuable hack. Here’s another way to do it. If that’s too much work, then you could just hack a digital readout calliper in there.

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Pager Lives Again Thanks To Python And Mastodon

Pagers were a big deal for a while there, even if they never quite made it into the pantheon of excellent sitcom plot devices like answering machines did. Anyway, [Finnley Dolfin] had some pagers and gave them a refresh for the modern era, using them to receive message alerts from Mastodon.

The project is laced together with a bunch of Python code. It uses the Mastodon library for interacting with the social media website. When it detects an incoming direct message, it hooks into DAPNET – the Decentralized Amateur Paging Network.  Via this network, a message is sent out over the airwaves to [Finnley’s] pager, serving as a notification that someone’s reached out to chat on Mastodon.

It’s neat that the amateur radio world is keeping pagers alive, using distributed base stations to share messages. Unfortunately, given the existence of smartphones, we don’t quite see pagers catching on again any time soon. And yet, [Finnley’s] setup has a certain level of old-school cool that no modern phone could match.

We’ve seen only a handful of pager hacks over the years, but they’re still pretty neat. If you’ve got your own cooking up in the workshop, drop us a line, yeah?

Streaming Deck Removes Need For Dedicated Hardware

Streaming content online has never been more popular than it is now, from YouTube to Twitch there are all kinds of creators around with interesting streams across a wide spectrum of interests. With that gold rush comes plenty of people selling figurative shovels as well, with audio mixing gear, high-quality web cams, and dedicated devices for controlling all of this technology. Often these devices take the form of a tablet-like device, but [Lenochxd] thinks that any tablet ought to be able to perform this task without needing dedicated, often proprietary, hardware.

The solution offered here is called WebDeck, an application written in Flask that turns essentially any device with a broswer into a stream control device. Of course it helps to have a touch screen as well, but an abundance of tablets and smartphones in the world makes this a non-issue. With the software running on the host computer, the streamer can control various aspects of that computer remotely by scanning a QR code which opens a browser window with all of the controls accessible from within. It has support for VLC, OBS Studio, and Spotify as well which covers the bases for plenty of streaming needs.

Currently the host software only runs on Windows, but [Lenochxd] hopes to have MacOS and Linux versions available soon. We’re always in favor of any device that uses existing technology and also avoids proprietary hardware and software. Hopefully that’s a recipe to avoid planned obsolescence and unnecessary production. If you prefer a version with a little bit of tactile feedback, though, we’ve seen other decks which add physical buttons for quick control of the stream.

Atopile Wants You To Code Schematics

We’d wager that, if you’re reading Hackaday, you’ve looked at more than a few circuit diagrams in your day. Maybe you’ve even converted a few of them over to a PCB. It’s a workflow that, at this point, is well-understood. But as designs become more complex, the schematics are harder to create and maintain. That’s why Atopile wants to treat hardware design more like writing code.

We can see some real benefits to this but also some possible drawbacks. On the plus side, reusing chunks of PCB description should be easy. On the other hand, detecting certain errors on a schematic or PCB layout is easier than spotting them in code. Of course, there are probably types of errors that are easier to catch in code, too, so maybe that’s not a problem. Certainly, if you can spit out a schematic from your code, you could — potentially — have the best of both worlds.

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