The PiShot Is Ready For Your Snaps

The formula for a Raspberry Pi camera is by now a straightforward one: take a Pi and camera module, add a display, buttons, and battery, and you’re done. This doesn’t mean that there’s no scope for more though, and [Irtaza2009] has one in the PiShot. It’s a few months old now but the repository is still being updated.

The 3D printed case follows a compact camera form factor with the screen on the rear, and a cold shoe on top. Inside is a Pi Zero 2 W and a Camera Module 3, with an 18650 cell and battery management/power supply board. The buttons are tactile switches hooked up to GPIOs, and the screen is an ST7789 SPI display.

For software there’s a Python script, which should do the job. We’ve not tested this one, but our experience is that slowness is the Achilles’ heel of Python based Pi cameras. We hope this one has managed to eke out some performance.

An interesting upgrade to this device would be to use an HQ camera module, for a mirror-less compact. It wouldn’t be the first such camera we’ve seen.

Track Bird Visitors With A Raspberry Pi And A USB Mic

Avian Visitors is a lovely project by [Teddy Warner] that uses a Raspberry Pi and microphone to keep track of which birds have been visiting your home, and creates a colorful illustration of recent visitors on top of it all.

It reports on a web interface of its own making, but what really takes things to a new level is an optional, stylish E-Ink panel that shows the last 24 hours’ worth of visitors at a glance in a collage.

The key to identification is BirdNET (GitHub here), a deep learning classifier from Cornell that can reliably identify and classify more than 11,000 species worldwide based on sound alone.

Based on that information, the system pulls bird images from a reference set for the region and creates a collage representing the breadth and frequency of visitors in a single image. The larger the image of a bird, the more frequently it was heard.

That’s a cool project, but [Teddy] took things one step further by setting up a color E-Ink display to show a running summary of all the avian visitors the system identifies. [Teddy] has a knack for leveraging projects into wall-mounted art, as we saw with his generative art wall plotter. Continue reading “Track Bird Visitors With A Raspberry Pi And A USB Mic”

Regain Some Trust In Unknown USB Drives

For how useful USB thumb drives are for quickly toting around and copying files from one computer to another, they can be a bit of a security headache. Programs can be loaded on them with all kinds of malware; they can be obscured in some ways that are difficult to detect, and they can be set up to execute certain programs when they’re plugged in. The general wisdom is to simply avoid untrusted USB devices completely, but that sort of abstinence-only policy rarely works in the real world. If, for some reason, an untrusted USB device absolutely needs to be used, many of these security issues can be mitigated with this tool.

Built by [Novamostra], the device is simple on the surface: it’s a Raspberry Pi Pico mated to a 2-in-1 USB splitter cable. But with the USB Neutralizer software they have written loaded onto the Pico, it automatically destroys the ability of any connected USB thumb drive to load files. The program works by deleting the first and last 34 Logical Block Addressing (LBA) sectors on the drive immediately when it’s plugged in, without doing anything else. This effectively corrupts the drive bad enough to prevent malicious software in the partitions from doing anything, allowing the user to (relatively) safely put the USB drive into their computer and format it for re-use. The code for this tool is also open-source and reviewable on the project’s GitHub page.

Of course, this isn’t a perfect security solution for all USB attacks. It doesn’t erase or replace the firmware on the drive itself, and although firmware-level attacks are rare they’re not out of the question for all users, all the time. It also won’t prevent a malicious physical attack like this high-voltage one, and it may also not stop hidden or obscured partitions or devices programmed for storage and some other nefarious purpose simultaneously, like a USB HID. But still, this solves a great many of the problems associated with getting new drives from semi-untrustworthy sources, like retailers or friends whose computer skills we don’t fully trust.

Neighborhood Bulletin Boards, Circa 1982

When the Internet first started gaining mainstream popularity in the late 90s, many optimists claimed that it would bring people together by reducing barriers to communication. That ideal hasn’t exactly come to pass yet, as anyone who has been on the Nextdoor neighborhood social network can likely attest to. Before social media, neighbors weren’t completely in the dark about their local communities, though. Besides word-of-mouth communication, there were also local access channels on cable TV, which had none of the downsides of modern social media. And [Hans] is bringing this style channel back.

[Hans]’s project is called CABLE 82, a bulletin board channel that matches the style of these channels from the 1980s. There’s better technology available for these types of systems now, though, so instead of relying on something like a character generator he’s using a Raspberry Pi running custom software to produce the video feed. The Pi hosts a web server so the 4:3 video feed can be reserved for the bulletin board display, but users who have older Pis with the yellow composite video output can skip using something like an HDMI to RF converter on their period-appropriate CRT displays. The software also adds sound functionality, as these channels always had some sort of elevator music playing while they were scrolling through local community news.

For those looking to recreate some of the nostalgia of 1980s community and technology, [Hans] has made this project open source, with all of the files on a GitHub page. Part of the reason [Hans] got interested in building something like this is that he had been trying to source a CRT television for retro gaming, and wanted to reproduce more of that era than just a few video games. A channel like this would be a great addition to a complete cable TV recreation build like this one, which even includes a preview channel of everything playing.

Continue reading “Neighborhood Bulletin Boards, Circa 1982”

A Train Departure Board For The Home

Trains are a great way to get around. You just have to make sure you’re across the schedule if you intend to get where you’re going in a timely manner. Train departure boards exist for that very purpose. As a train fan, [Jon] always wanted such a thing, so decided to build one for himself. 

The build started, as so many do, with a Raspberry Pi 4, with [Jon] deciding on the 1GB model. Hooked up to either an Adafruit RGB Matrix Bonnet, or an Electrodragon 3-port RGB Matrix board, it’s then possible to get the Pi running three to four HUB75E LED matrixes. Each matrix consists of 128 x 64 pixels, so stacking up a bunch of them can make a nicely-sized departure board that’s easily readable. [Jon] was sure to hook up a nice, juicy 5-amp 5-volt power supply to ensure there wouldn’t be any surprise brownouts under normal usage conditions. From there, it’s simply a matter of having the Pi query the Rail Data Marketplace in order to get the relevant schedule data to display on the board.

If you want to get information on your local rail services at a glance, or just want to impress your fellow foamers at your next railfan gathering, a build like this is a great way to go. We’ve seen similar builds before, too. Video after the break.

Continue reading “A Train Departure Board For The Home”

Neural Net Reads The Gas Meter

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.

Continue reading “Neural Net Reads The Gas Meter”

Raspberry Pi Locator Website To Shut Down In July

As announced by [André] on Bluesky, next month the much loved Rpilocator.com website will cease displaying the stock status and pricing of Raspberry Pi computers from various online retailers.

One of the main reasons is that the indexing bot used by the site has been blocked by most shopping sites. It’s not clear whether this blocking is on purpose or just another consequence of website owners protecting themselves from the onslaught of obnoxious ‘AI’ scraping bots. But in any event, the effort of finding workarounds that may only work for a few days or weeks was becoming too much.

According to [André] there are still about 11,000 users of the site each month, which even when accounting for the human-bot ratio is still a sizable number of visitors who’ll now have to get their fix somewhere else. He also indicates that he receives numerous emails from presumably real people about the site to point out small issues they have noticed.

Although the site may still be back in the future, it’s also important to recognize how much the single-board computer landscape and raison d’être for this tracking site have shifted since the 2020s Chip Crisis days. Currently it’s less about finding where these boards are in stock, and more about taking the hits to one’s wallet as memory prices continue to spiral out of control. Making what were once fun, cheap little hobby boards into luxury items that cut into your rent-food-and-gas budget.