Solar Powered Traffic Monitoring

[Marios Christoforou] recently undertook a Computer Engineering degree at the University of Cypress. His final year project involved implementing a solar-powered device to count vehicular traffic, while logging results to the cloud.

The project is built around a Raspberry Pi 5, specifically the version with 4 GB of RAM. It runs Raspberry Pi OS and is equipped with a basic webcam with 720p video output. The single-board computer runs off a 12 volt lead acid battery, which is charged via a 100 W solar panel hooked up to a basic charger module. Identifying vehicles in traffic is achieved with the YOLOv8 Nano machine vision model, which outputs bounding boxes around cars, trucks, buses, and motorcycles captured in the webcam feed. Software algorithms are used to ensure vehicles are only counted once as they pass through the camera’s field of view.

There’s plenty of detail on how the project was refined to meet initial goals. To make the most of the solar power available, [Marios] optimized the setup with an eye to performance and low power draw. To that end, the Raspberry Pi had Bluetooth, the PCIe slot, audio, and HDMI ports all disabled, while the CPU and GPU were both under-clocked for good measure. Software tweaks were also used, like running headless and dropping unimportant parts of the video frame for more efficiency.

We’ve featured other homebrew traffic monitors before. These days, though, it’s Flock cameras that seem to be making all the headlines in this area.

Raspberry Pi RAM Restrictions No Big Deal, Frankly

Hacking on Raspberry Pi board internals is one of my favourite topics. I know a bunch of obscure things about these cute little boards. Three years ago, I covered a Raspberry Pi 4 RAM upgrade story. Getting a BGA RAM chip and swapping it in seemed like a no-brainer to me – apart from all the numerous uncertain parts about it, you know. It was a joy to see hackers pull it off, and for it to function as well as it did!

Things changed. You can’t really get RAM chips anymore. You also can’t get RAM sticks. You can’t get even SSDs with RAM chips on them. Even getting Raspberry Pi boards can be hard unless you know where to look. This is where a recent three-minute video by [Jeff Geerling] finds us.

Turns out, Raspberry Pi Foundation pushed binary-blob bootloader changes that limit your ability to upgrade RAM. I’ve known about it since last year through the grapevine, and somehow, as I read about it, this didn’t bother me at all. Not enough to write a Hackaday article about it, even, much less talk about it more widely. Why didn’t it bother me? Today, I sat down and pondered this for a bit.

Here’s my conclusion: I don’t think it’s a big deal at all, even if it seems that many people would disagree. Come in, as you are, and I hope you find my thoughts on the situation entertaining.

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Raspberry Pi Locks Down RAM Upgrades

In a recent video [Jeff Geerling] addresses an issue discovered with the Raspberry Pi firmware, specifically how since around 2024 the firmware locks down what RAM size and even module is supported. This isn’t an issue that is widely known, probably because most people just use the board as-is, but it can be an unpleasant surprise for those looking to upgrade or repair their Pi.

Naturally there is a valid reason for wanting to prevent unscrupulous RAM module changes, with a [Geekworm] blog post from earlier this year detailing this exact issue and how each board is marked with a specific code that identifies the model, RAM size, RAM manufacturer and such. Based on the earlier linked forum post and also a 2025-era GitHub ticket on the rpi-eeprom project, the resulting symptoms seem to vary from not seeing the additional RAM to the board not booting at all.

Although you can go back to an older EEPROM firmware image to work around this, it’s still very annoying that this is even a thing. As also noted by [Jeff], the primary frustration here is probably one of ownership. When you can upgrade the RAM on just about any device you can buy, including a modern GPU and even Apple computer, but not on a Raspberry Pi board that loves to flaunt its open source/hardware credentials, then something is very much off.

In the end it’s highly unfortunate that Raspberry Pi has chosen this path that feels a bit too much like the hardware pairing that companies like Apple got rightfully called out on.

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The Birds Outside, Drawn For You Automatically

With artificial intelligence being the bête noir of the moment, there are some projects using it which maybe don’t bring much to the table. So it’s nice to see one that uses it in a creative way, and delivers something new. [arnegiacomo]’s e-paper screen is a great example, as it draws a picture in real time of whatever birds are outside.

Behind the quite large screen sits a Raspberry Pi 5, and on that is BirdNet-Go, an AI-powered birdsong classifier. A USB microphone catches the birdsong, and Birdnet comes up with the species. The birds on the display are then those species as pictures from 19th century bird spotters guides, assembled into a collage. You can even see what the current set of birds it hears are, live, and they are a representative cross section of the European birds you’d find in Norway where it’s located.

We like this project, both for the bird book vibe it gives, and the creative use of machine classification. Surprisingly this isn’t the first project in this field we have seen over the years.

Teardown Shows Low-Fi Microphone Is Surprisingly Sophisticated

The Ting FX EP-2350 by Teenage Engineering is a standalone microphone with a few extras, including samples and built-in effect presets that can be modified by the user. It also has a distinctive design, and [Sam Holland] does an in-depth teardown that offers some insights that are worth keeping in one’s back pocket. The large, side-mounted lever in particular is an interesting bit, but more about that in a moment.

Inside the device is a single PCB, which has a cutout in the middle for a pair of AAA cells. A Raspberry Pi 2350 drives the device’s functions, supported by various components which [Sam] identifies, although he mostly looks at everything from the perspective of a mechanical engineer as he critiques the design. It’s a clean-looking, intentionally low-fi design that belies how complex the device really is.

The multi-function, chunky, spring-loaded side lever is of particular interest. It has three sensors: two switches and a potentiometer. One switch detects when the lever is at rest, or depressed by any amount at all. The potentiometer mates with the pivot point of the lever, allowing the device to directly sense how far the lever is pushed. The last switch triggers when the lever is pushed all the way in. Together, it forms an intuitive input that combines powering on (the device wakes up from sleep mode as soon as the lever is pressed) with the ability to adjust effects in proportion with how far the lever is pressed, while also bottoming out with a distinct click that itself acts as an input signal.

One other interesting bit is the light pipes that carry light from multiple indicator LEDs to the outside of the device. A textured surface acts as a diffuser and helps the lit surface look smooth, while a coating of silver paint prevents light bleed and (probably) maximizes light transmission through the plastic. Hot glue makes a pretty good light pipe material but if DIY light pipes end up in your next project, sanding the exit surface and giving the rest a coating of silver paint just might be worth a shot. Continue reading “Teardown Shows Low-Fi Microphone Is Surprisingly Sophisticated”

Troubleshooting Video Delay On The Raspberry Pi

The Raspberry Pi line of single-board computers are great little devices, and they can do great things with cameras and video. However, there can be a fair bit of latency involved in these tasks depending on the board you’re using and just what you’re doing. You need to have things set up just so to get peak performance. [MattKC] has tangled with this issue in a personal project, and recently had somewhat of a breakthrough.

The issue came up during [MattKC’s] work on cloning the WiiU gamepad. The idea was to receive the video stream from the WiiU console and display it using a Raspberry Pi Zero 2W. He had some problems with latency, wherein there was a strange 3 frames of latency in the video pipeline that just wouldn’t go away. Even substituting in some dummy frames into the pipeline and ignoring them at output time didn’t work—the latency stuck around. Eventually, [MattKC] realized the delay wasn’t about a certain number of frames—it was about time. About 50 milliseconds, in fact.

Drilling down further revealed that there was a problem in the way frames were being fed into and received from the decoder. The first frame would take about 50 ms to decode, while later frames would take far less—as little as 5ms. However, [MattKC’s] code wasn’t set up to grab frames as soon as they were done, so the lag carried forward. The video explains it in greater detail, and how polling the decoder regularly helped solve the issue. The final result was a Raspberry Pi Zero 2W that could process and display the WiiU video feed as quickly as the original Nintendo WiiU gamepad.

If you dug this, it’s worth going back and checking out where the WiiU gamepad project started, too. Video after the break.

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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.