Digitize An Analogue Oscilloscope

Many of us will possess digital oscilloscopes which offer at an affordable price an array of features once unimaginable on the analogue CRT ‘scopes of yesteryear. But those old analogue beasts were fine pieces of equipment when they were made and remain so today. So how can they find a place in the digital age?

Perhaps [Joseph Eoff] has the answer, because he’s fitted his trusty Telequipment D43 with a camera in a 3D-printed attachment, paired with a piece of cross-platform Python/Qt custom software using OpenCV to identify, digitize, and quantify the traces. The software allows viewing the either the digitized trace or the real trace, and derives measurements of voltage and frequency from them. One limitation is that despite the ‘scope being a dual-trace model, the software only has a single set of cursors to measure one trace at a time. All the code can be had from the GitHub repository, should you wish to experiment with it or extend it.

It’s worth thinking for a minute at what price point a remotely decent digital ‘scope starts, then considering the ease with which surprisingly good older analogue instruments can be found on the second-hand market for not a lot. An approach such as this one makes them an even more attractive proposition.

If you’re looking further into enhancements for an analogue ‘scope, how about a logic analyser?

Job Application Script Automates The Boring Stuff With Python

Job hunting can certainly require a good amount of hoop-jumping in today’s age. Even if you’re lucky enough to have your application read by an actual human, there’s no guarantee the person on the other end has much of an understanding about your skill set. Oftentimes, the entire procedure is futile from the start, and as a recent graduate, [harshibar] is well aware of the soul-crushing experience investing a lot of time in it can be. Well, as the saying goes: if you can’t beat them, join them — and if you can’t join them, automate the hell out of the application process.

As the final piece of a “5 Python Projects in 5 Days” challenge [harshibar] set for herself — which also spawned a “Tinder for Netflix” for the web development section of it — she essentially created a web-scraper that gathers job openings for a specific search term, and automatically sends an application to each and every one of them. Using Beautiful Soup to parse the scraped pages of a certain job portal, Selenium’s browser automation functionality to fill out the online application forms, she can get all her information into the form saving countless hours in comparison to the manual alternative. The program even hits the apply button.

While the quantity-over-quality approach may not be for everyone, there’s of course room for more filtering and being more selective about the job openings beforehand, which [harshibar] also addresses in her video about the project (embedded below). And while this won’t fix the application process itself, we can definitely see the satisfaction a beating-them-at-their-own-game might provide — plus, it can’t have a worse miss rate than your typical LinkedIn “recruiter”. Still, if you’re looking for a more systematic approach, have a look at [Lewin Day]’s view on the subject, he even has advice job hunting is still further down the road for you.

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CyberDÛCK Quacks Like A Cyberdeck

Over the last year or so, we’ve seen an explosion in the popularity of cyberdecks — those highly portable and occasionally wearable computers that would make William Gibson proud. A lot of the cyberdecks we see are based on NUCs or the Raspberry Pi and are essentially post-apocalyptic DIY laptops. But what if you want to play with microcontrollers on the go? Do you really need traditional computing power?

If you build [kmatch98]’s adorable cyberDÛCK, the answer is no. This duck can edit and run CircuitPython files anywhere without a separate computer, as long as you have some kind of USB keyboard. It has a text editor for writing Python scripts the regular way as well as a REPL for running commands on the fly.

One of the biggest hurdles in portable microcontrollering is getting HID access so you can communicate with a keyboard. Flip open cyberDÛCK and you’ll find two ItsyBitsy M4s — one being used as the USB host, and the other controls the display and is meant to be programmed. To get the keyboard input across, [kmatch98] adapted a MicroPython editor to take input from UART. Waddle past the break to check out the sprite demo, and stick around to see [kmatch98] discuss the duck in detail.

We understand if you can’t wait to make one of these yourself. In the meantime, did you know you can code CircuitPython directly from your phone?

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The Clickiest Keyboard Ever

No matter how clicky your keyboard is, nothing compares to the sensory experience of using a typewriter. The sounds that a typewriter makes, from the deep clunk of hitting the spacebar to the staccato of keys striking paper to the ratchety kerchunk of returning the carriage, are a delight compared to the sterile, soulless clicks of even the noisiest computer keyboard. Oh, and the bell — who doesn’t love the bell?

Unwilling to miss out on the feel of real typing, [Jatin Patel] whipped up this solenoid-powered typewriter simulator. The first version had the core functionality, with a line of six solenoids mounted to a strip of wood. The coils are connected to an Arduino through a relay board; a Python program running on his PC reads every keypress and tells the Arduino which solenoid to fire. Each one sounds different somehow, perhaps due to its position on the board, or maybe due to differences in mounting methods. Whatever the cause, the effect is a realistic variability in the sounds, just like a real typewriter.

Version two, shown in the video below, ups the simulation with a motor that moves the solenoid rack one step with each keypress, to simulate the moving carriage of a typewriter. The last solenoid rings a bell when it’s time to return the carriage, which is done with a combination wrench as a handle. Weird hex, but OK.

Can’t get enough typewriter action? We understand; check out this typewriter-cum-USB keyboard, the tweeting typewriter, or this manual typewriter that pulls some strings.

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This Animatronic Mouth Mimics Speech With Servos

Of the 43 muscles that comprise the human face, only a few are actually important to speaking. And yet replicating the movements of the mouth by mechanical means always seems to end up only partly convincing. Servos and linkages can only approximate the complex motions the lips, cheeks, jaw, and tongue are capable of. Still, there are animatronics out there that make a good go at the job, of which this somewhat creepy mechanical mouth is a fine example.

Why exactly [Will Cogley] felt the need to build a mechanical maw with terrifying and fairly realistic fangs is anyone’s guess. Recalling his lifelike disembodied animatronic heart build, it just seems like he pursues these builds for the challenge of it all. But if you thought the linkages of the heart were complex, wait till you see what’s needed to make this mouth move realistically. [Will] has stuffed this pie hole with nine servos, all working together to move the jaw up and down, push and pull the corners of the mouth, raise and lower the lips, and bounce the tongue around.

It all seems very complex, but [Will] explains that he actually simplified the mechanical design to concentrate more on the software side, which is a text-to-speech movement translator. Text input is translated to phonemes, each of which corresponds to a mouth shape that the servos can create. It’s pretty realistic although somewhat disturbing, especially when the mouth is placed in an otherwise cuddly stuffed bear that serenades you from the nightstand; check out the second video below for that.

[Will] has been doing a bang-up job on animatronics lately, from 3D-printed eyeballs to dexterous mechatronic hands. We’re looking forward to whatever he comes up with next — we think.

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Snakes And Ladders: Game Boy Emulator In Python

If a Game Boy was a part of your childhood, you were probably more than once dreaming of spending your entire school day with it. Well, they had to wait a few more years for that, but eventually in 2015, [Asger], [baekalfen], and [troelsy] made that dream reality when they created a Game Boy emulator in Python for a university project. However, it didn’t stop there, and the emulator has since grown into a full-blown open source project, PyBoy, which just reached the version 1.0 release.

Since it started out as an academic project, the three of them had to do their research accordingly, so the background and theory about the Game Boy’s internal functionality and the emulator they wrote is summarized in a report published along with the source code. There is still some work to be done, and sadly there is no sound support implemented yet, but for the most part it’s fully functional and let’s you successfully play your own extracted cartridges, or any ROM file you happen to have in your possession.

Being an emulator, you can also inspect its inner life when run in debug mode, and watch the sprites, tiles, and data as you play, plus do cool things like play the emulation in reverse as shown in the clip below. Even more so, you can just load the instance in your own Python scripts, and start writing your own bots for your games — something’s we’ve seen in action for the NES before. And if you want to dive really deep into the world of the Game Boy, you should definitely watch the 33c3 talk about it.

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KiCad Panelization Made Easy

There’s a new Python-based script that will panelize your KiCad circuit boards from the command line. The project by [Jan Mrázek] is called KiKit and works on .kicad_pcb files to arrange them in a grid with your choice of mousebites or v-cuts for separating the boards after production.

When working with smaller boards it’s common practice to group them together into panels. This is done to speed up PCB assembly as multiple boards can have solder paste applied, go through a pick and place machine, and be sent into the reflow oven as a single unit. Often this is done manually, but in many cases this script will save you the time while delivering the results you need.

Let’s say you really wanted to make a whole bunch of those Xling open source Tamagotchi-like key fobs we saw a couple of weeks back. Using KiKit you can gang up six of the boards at a time, using “mousebites” to keep them together during production but make it easy to separate them after all the components are soldered:

/usr/local/bin/kikit panelize grid --space 3 --gridsize 2 3 --tabwidth 3 --tabheight 3 --htabs 2 --vtabs 1 --mousebites 0.5 1 0.25 --radius 1 Xling/hardware/xling.kicad_pcb xling_panel.kicad_pcb

You can see that the parameters let you set space between the boards, number of boards in the grid, width of the tabs, tab dimensions, number of tabs between boards, and even the radius of the curve where the tabs meet the board. These settings were pulled from the examples page, which demonstrates outcomes for many different settings options.

If you want to give this a try, we suggest installing directly from the repository, as improvements are ongoing and the pip3 version didn’t have all of the options shown in the examples. For us this was as easy as sudo python3 setup.py install and then calling the script with the full path /usr/local/bin/kikit.

Results from this board are both impressive and cautionary. You can see the top edge of the design is recessed yet the most up-to-date version of KiKit was still able to make the connection. However, how this affects the USB connector on the bottom of the board design may be something to consider before pulling the trigger on your panel order.