Mysterious Files PH

Sometimes that retro gaming itch strikes, and you just have to source components for a Pentium 4 build, like [Computer Retro Bus] did recently. Unfortunately, along the way he learned that you can actually get counterfeit mainboards. Case in point the purported ‘Asrock P4i45GV’ that was purchased as the core of this Pentium 4 build, which turned out to have many issues that included a fake AGP slot.

The mainboard was bought off Facebook Marketplace, with the first sign of trouble being spotty GPU support for the AGP slot, and an inability to install a driver for a card that seemed to work. Following this, issues with the installed Soundblaster soundcard popped up, with the use of Windows ME as OS being of course a factor, but even ME is generally not this sketchy.

At some point he decided to actually dig into this Socket 478 mainboard that he had purchased, only to find out that there was a reason why there were no real markings on it. After an image search it turned out to be a clone of the aforementioned Asrock mainboard, including the original’s ‘feature’ of connecting the ‘AGP’ slot to the PCI bus. This explained why only the AGP GPUs that are compatible with PCI worked with this mainboard, as it’s actually Asrock’s ‘AGI’ slot.

Effectively just a way to scam buyers into believing that they bought a mainboard with an AGP slot when it was just a regular PCI slot cosplaying as an AGP slot. This doesn’t just mean lower speeds and spotty support with AGP cards, but also also potentially dead GPUs, as this mainboard inherited the same 3.3V-only card support.

Unlike PCI slots that are keyed for 3.3/5V voltage support, AGP slots are keyed for either 3.3V or 1.5V, or no key for universal support. These ‘AGI’ slots are sadly keyed for 1.5V AGP cards and thus will expose 1.5V-only AGP cards to potentially fatal voltages.

On the bright side, these are at least genuinely old mainboards, using the same AGP-less Intel chipsets, made back in the day to sell to unsuspecting buyers. Clearly the pain that these fake boards as well as genuine Asrock boards that these ripped off caused back in the day continues in 2026. Caveat Emptor, as they say.

In an ideal world, the role of technology would be to make all of our lives easier. And although all the ads suddenly appearing in our smart TVs and gaming systems might make it seem otherwise, some technology can still improve our lives if we work hard at it. For [Cian], that meant training a neural network to read his gas meter so he wouldn’t have to do it himself.

The root issue here is twofold, first that [Cian]’s gas company hasn’t upgraded their own technology to modern, remote-readable meters, and second that the meter can’t be read by a gas employee because it’s hidden in the depths of [Cian]’s basement. This latter fact requires him to delve into Moria-like depths to get to the meter, so the solution here was to place a Raspberry Pi in this location instead. With a camera pointed at the meter, it’s not quite capable of discerning digits on its own so a neural network was trained in order to get accurate readings of the dial. And, finally, since the machine is networked already [Cian] set it up to automatically notify the gas company of its reading so he is now completely out of the loop.

For automating tedious tasks like these, the Raspberry Pi with something like OpenCV as a computer vision tool is a fairly mature platform for light machine learning duties like these. We’ve seen license plate readers as well as neighborhood traffic surveys built on these platforms to help automate human labor away, making our lives easier one single-board computer at a time.

Have you ever found out that something you remember from your youth is now gone, and you didn’t even notice? If you are a certain age, you might feel that way when I deliver the news: You haven’t been able to buy International Reply Coupons (IRCs) at a US Post Office since early 2013. By the end of 2026, you won’t be able to buy them anywhere. The age of the IRC is over.

What’s an IRC?

If that didn’t mean anything to you, you might be too young to remember, or maybe you just weren’t into shortwave listening or ham radio. Although there were other reasons to get IRCs, a radio hobby is the most likely reason a Hackday reader would have bought an IRC.

For radio purposes, here’s the problem. You’ve worked on your station for months, and one winter night, you finally pull in that rare station from Luxembourg. They’ll send you a QSL card to verify that you heard them. You only have to send them a letter telling them what time you heard them, what frequency, and some details about the program you heard. But they probably don’t want to pay the postage required to send hundreds or thousands of cards overseas.

While this is a radio-specific problem, you might find the same issue with pen pals or when trying to buy things from an overseas company.

SASE

If everyone were in the same country, the solution would be easy. Take a stamp, put it on an envelope that has your address on it, and stuff it in with the letter. Or, you could just drop a stamp or two in the letter you sent.

The problem is, US postage won’t help Radio Luxembourg. On the other hand, the effort required for you to buy postage that works in Luxembourg would have been a nightmare.

Enter the UPU

The Universal Postal Union is a UN agency that is effectively an association of post offices in 192 countries. Their charter is to facilitate mailing things worldwide.

The IRCs date back to 1906. The idea is you buy an IRC at your post office. You send it to Radio Luxembourg, or wherever. There, the mail person at the radio station could go to their post office and trade the coupon for enough local postage to send a surface letter worldwide.

Slow Death

As demand has dwindled, post offices worldwide have quit selling IRCs. As of last year, Australia still did. But Germany, Britain, the United States, and many other countries gave up on them long ago. In fact, Britain’s Royal Post claimed that the average post office sold less than one IRC per year at the time it threw in the towel.

UPU decided to end IRCs altogether by December 31, 2026. The end of an ear and, apparently, not just for radio hobbyists. It is telling that the UPU’s recent editions of IRCs had print runs of 1,000 or even 500. So they obviously weren’t selling very many.

IRCs Other Claim to Fame

If you’ve heard of these before and you aren’t interested in radio, then it might have been in economic history. Have you heard of the Ponzi scheme? It has become a generic term for any business scheme that relies on raising money from new investors to service debt owed to old investors.

However, the original Ponzi scheme dates back to 1920, when Charles Ponzi realized he could buy IRCs in a country where they were cheap and sell them for more in another country. He was happy to accept investors, of course.

The problem is that profits are thin, and the costs of acquiring and transporting large numbers of IRCs quickly swamp most potential profits. Fluctuations in currency exchange rates take the rest.

Goodbye!

So the end of the IRC marks a closed chapter for ham radio and swindling. There were probably other uses, too, that are now consumed by electronic mail, payment systems, and the like.

You have to wonder what adventures IRCs went on during their global travels. The video below shows one’s story.

What if you want to do something in Linux for a lot of files? [Numerator] was tired of using xarg and other ways to handle this job and created bashumerate.

Some examples in the post of the “other ways” include:

find . -name '*.log' | xargs rm
find . -name '*.sh' -exec wc -l {} \;

You can, also, use a for loop, and if you are a programmer at heart, you may well do this:

for f in *.txt; do
  wc -l "$f"
done

Bashumerate handles all of the common cases in one tool and uses the same syntax for multiple kids of enumerations.

For example, the above translates to:

enumerate -f '*.sh' -- 'wc -l {}'

The -f means enumerate files. You can also enumerate lines, numbers in a range, or lists. What’s even more interesting is that you can add your own source. As an example, there’s an add-in function that enumerates running docker containers.

The source is all in bash, so it should be very portable. Will you try it? What’s your favorite way to enumerate in shell? Let us know in the comments. You know how we love strange bash tricks.

Bats are remarkable creatures, able to fly at night or inside the confines of caves without light to guide their way. A team of researchers at Worcester Polytechnic Institute (WPI) has determined how to use low power ultrasonic sensors to guide drones in obscured environments.

While radar, lidar, and GPS are all great for navigation and sensing, they can run into issues when light is obscured or can take too much power to be practical for the limited battery life of a drone. The researchers found that a dual sonar array could be used to implement a much lower power sensing system for a drone that performs well in environments that would stymie a computer vision system.

A shield placed behind the array cuts down on the sound of the propellers that would otherwise drown out the signal, and further signal analysis via a neural net separates the echoes of objects in front of the drone from the background. The prototype could navigate in various simulated environments like forests, smoke, and snow. It looks like it even got a chance to go for a flight in the actual woods. All the code and hardware designs are Open Source, so have at it!

We’ve covered mosquito-inspired drone sensors before, and if you want to get into echolocation yourself, apparently humans can learn to do it too.

via Entertainment Engineering.

A little over a month ago, we featured a project from [Igor] who built 64 bits of DRAM from scratch using discrete components. Jokes about memory pricing aside, he did have a use case for such a small amount of memory — he is using it in a custom-built drum machine. But featuring the memory build and not the drum machine was perhaps putting the cart before the horse, so in this video, [Igor] shows off the construction of each part of his impressive 16- or 64-step sequence drum machine.

This isn’t Igor’s first drum machine, either, although his previous build was a bit more limited. It had fewer steps in the sequence and didn’t quite have the range of his newer model. The upgraded version can play more steps but also includes force-sensitive drum pads based on piezo sensors and more voices (drums) as well. Each voice is built electronically using various op-amps and passive components, and [Igor] has the schematics for each of them, as well as every other part of the drum machine, for those looking to recreate any part of this on their own. There’s a lot going on in this lengthy video as well, so for the musically inclined, it’s worth taking a look in full.

Now that our horse is in the correct position in front of the cart, it’s worth going back and looking at the memory build if you missed it when it first ran. A small amount of memory makes the machine programmable rather than just playable, and truly expands the capabilities of a machine like this in the recording studio.

There was once a race to put out cameras with ever higher numbers of megapixels to snare customers eager to take the highest quality digital photos. These days, we know that things like optics, processing, and finer qualities of an image sensor are all very important beyond pure resolution. But, for a time, companies behaved as if megapixels mattered over all else.

But what if you could go farther—shooting not millions, but billions of pixels in a single image? That’s precisely what [Yannick Richter] came to Hackaday Europe to talk about, covering his Project Gigapixel build.

More Pixels

When it comes to building a consumer camera with higher resolution, manufacturers achieve this by creating an image sensor with a greater number of sensing elements. This, of course, can get expensive and difficult the farther you want to scale, particularly if you’re trying to fit more sensing elements into a given standard sensor size.

However, there are other ways to capture images in greater resolution that don’t require a larger image sensor. Namely, you can actually use quite a simple image sensor of limited resolution, and simply move it to various positions, capturing light all the while. Then, all you need to do is stitch the output together and you have a remarkably high resolution image. It might sound complicated, but as [Yannick] explains, it’s a perfectly cromulent way to build a gigapixel image.

[Yannick’s] project began with an old Epson flatbed scanner. This made the perfect donor for such a project, as it came with a linear image sensor with quite good resolution for scanning photographs and documents. The only problem is that it needs to move in a straight path in order to capture a full image. The goal was to build it into a scanner-style camera that was truly portable, which required some reverse engineering and creative design to make it into a practical tool for real-world photography. [Yannick] didn’t want to just stuff the existing scanner in a bodged-together camera body, either. He wanted to interface the sensor directly and build a custom linear-scanning camera from the ground up, with the high-resolution linear sensor mounted behind a nice medium-format Pentax lens.

The key was that the scanner in question—an Epson V370—used a Sony CCD scanning element, rather than a cheaper CIS element. A proper CCD sensor is more expensive, but produces better output, and is more suitable for the sort of imaging [Yannick] was trying to do with this build. Namely, by running the scanning element behind a medium format lens to capture incredibly high-resolution images at up to 40800 x 80000 pixels, or 3.2 gigapixels if you multiply it out.

The talk covers all the work that [Yannick] did to make this a fully functional camera. That included doing a deep dive into Epson documentation to figure out how to interface the sensor at all. Thankfully, service manuals provided enough detail on how the 12-line RGB sensor works to get the project over the line. Interfacing the sensor was achieved via reusing the ADC and timing generation hardware from the scanner itself, hooked up to a Raspberry Pi 5 and a RP2350.

Plenty of work was required to figure out how to properly offset all the R, G, and B pixels to line up properly into a coherent color image. [Yannick] also dives into the mechanical design, regarding how the sensor was assembled on a 100-millimeter linear drive to scan it behind the lens assembly to capture images. There were also issues generating a live preview that you’d get on any other digital camera, which is not exactly practical to generate from a scanning image sensor. Instead, a standard Raspberry Pi camera was included in the build for live preview to help with lining up a shot.

Perhaps the best part of the talk is when [Yannick] shows off the final results. The simple fact is that 3.2 gigapixel images capture a ton of detail when they’re taken well and focused correctly. A simple shot of some benchtop instruments doesn’t look like anything special, until [Yannick] shows that cropping in will let you read the codes off a 0603 SMD resistor. Obviously, the camera is limited when it comes to speed and it can’t really capture moving objects well. However, when it comes to grabbing very high resolution shots of still scenes, it’s a great performer. If taking gorgeously detailed landscapes or stunning architectural shots is your thing, you might find such a build an appealing proposition for your own needs.