Smart Mirror Talks To 3D Printers

As time goes by, it’s only getting easier to make a magic mirror. You know, a mirror connected to the internet that shows information like news, weather, or whatever you want, right there on top of your stunning visage. In [Forsyth Creations]’ case, that data includes 3D printer activity on the network — something that’s way more relevant to daily life than say, headlines about Kim Jong Un’s weight loss progress. The build video is embedded below.

Thanks to projects like [MichMich]’s MagicMirror, everything is done with modules, including really useful things such as OctoMirror that let you keep an eye on your 3D printer(s) using OctoPrint.

The electronics are pretty simple here — [Forsyth Creations] used the guts of an old monitor for the display and a Raspberry Pi to serve up the modules as a web page. The only tricky part is power, because the LCD is going to need so much more voltage than the Pi and the absolutely necessary LEDs around the edge, but a couple of buck converters do the trick.

After stripping the monitor of all of its unnecessary plastic, [Forsyth Creations] cut rear and front frames to support the electronics. That isn’t a piece of mirror glass, it’s actually one-way acrylic which is lighter and somewhat cheaper. [Forsyth Creations] designed and printed some corner support brackets that double as leveling screw holders to get the acrylic panel dialed in just right, and you can get these for yourself from GitHub. We think this would be a good early woodworking project or something for a long weekend. [Forsyth Creations] built this in three days on an apartment balcony using a minimum of tools.

We especially admire that once it was done, he hung it up with a French cleat. Those are so useful.

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Analog Camera Goes Digital

The digital camera revolution swept through the world in the early 2000s, and aside from some unique situations and a handful of artists still using film, almost everyone has switched over to digital since then. Unfortunately that means that there’s a lot of high quality film cameras in the world that are gathering dust, but with a few pieces of equipment it’s possible to convert them to digital and get some more use out of them.

[befinitiv]’s latest project handles this conversion by swapping in a Raspberry Pi Zero where the film cartridge would otherwise be inserted into the camera. The Pi is attached to a 3D-printed case which mimics the shape of the film, and also houses a Pi camera right in front of the location where the film would be exposed. By removing the Pi camera’s lens, this new setup is able to take advantage of the analog camera’s optics instead and is able to capture images of relatively decent quality.

There are some perks of using this setup as well, namely that video can be broadcast to this phone over a wireless connection to a computer via the Raspberry Pi. It’s a pretty interesting build with excellent results for a remarkably low price tag, and it would be pretty straightforward to interface the camera’s shutter and other control dials into the Raspberry Pi to further replicate the action of an old film camera. And, if you enjoy [befinitiv]’s projects of bringing old tech into the modern world, be sure to check out his 80s-era DOS laptop which is able to run a modern Linux installation.

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Hands On With The Raspberry Pi POE+ HAT

There’s a lot happening in the world of Pi. Just when we thought the Raspberry Pi Foundation were going to take a break, they announced a new PoE+ HAT (Hardware Attached on Top) for the Pi B3+ and Pi 4, and just as soon as preorders opened up I placed my order.

Now I know what you’re thinking, don’t we already have PoE HATs for the Pis that support it? Well yes, the Pi PoE HAT was released back in 2018, and while there were some problems with it, those issues got cleared up through a recall and minor redesign. Since then, we’ve all happily used those HATs to provide up to 2.5 amps at 5 volts to the Pi, with the caveat that the USB ports are limited to a combined 1.2 amps of current.

PoE vs PoE+
$20 for either of them. Choose wisely.

The Raspberry Pi 4 came along, and suddenly the board itself can pull over 7 watts at load. Combined with 6 watts of power for a hungry USB device or two, and we’ve exceeded the nominal 12.5 watt power budget. As a result, a handful of users that were trying to use the Pi 4 with POE were hitting power issues when powering something like dual SSD drives over USB. The obvious solution is to make the PoE HAT provide more power, but the original HAT was already at the limit of 802.3af PoE could provide, with a maximum power output of 12.95 watts.

The solution the Raspberry Pi Foundation came up with was to produce a new product, the PoE+ HAT, and sell it along side the older HAT for the same $20. The common name for 802.3at is “PoE+”, which was designed specifically for higher power devices, maxing out at 30 watts. The PoE+ HAT is officially rated to output 20 watts of power, 5 volts at 4 amps. These are the output stats, so the efficiency numbers don’t count against your power budget, and neither does the built-in fan.

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Get Yourself A Pupper (For Education)

While the disquieting appearance of some of the robots coming out of DARPA and other labs might give us some reservations about how much intelligence we want to give to those robots, there’s a lot to be learned from them before their inevitable global takeover. This small quadruped called the Mini Pupper is just the robot for that job. With a low cost and familiar platform, it’s the ideal robot to learn some of the tricks of the trade.

For a quadruped so small, some unique changes had to be made to ensure the robot’s functionality. There have been a few developments since it was first shown over a year ago. The first was to design a custom servo that could handle the unique characteristics of this robot. From there, some other improvements were made to the robot chassis such as using threaded rods for ease of assembly and maintenance. Some other things have stayed the same though like using a Raspberry Pi to handle the control systems and self-navigation.

Of course everything needed to make this robot yourself is open source, from the code to the schematics. For experimenting with quadrupeds and even with automatic navigation, this would be a great way to get started, and the small size will also limit its ability for a Skynet-style takeover as well. That’s a nice bonus.

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10 Gigabit Ethernet For The Pi

When people like Bell and Marconi invented telephones and radios, you have to wonder who they talked to for testing. After all, they had the first device. [Jeff] had a similar problem. He got a 10 gigabit network card working with the Raspberry Pi Compute Module. But he didn’t have any other fast devices to talk to. Simple, right? Just get a router and another network card. [Jeff] thought so too, but as you can see in the video below, it wasn’t quite that easy.

Granted, some — but not all — of the hold-ups were self-inflicted. For example, doing some metalwork to get some gear put in a 19-inch rack. However, some of the problems were unavoidable, such as the router that has 10 Gbps ports, but not enough throughput to actually move traffic at that speed. Recabling was also a big task.

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EMOJO Chatbot Will Be There For You

We all need someone to talk to sometimes, and the pandemic has only made matters worse when it comes to the number of people living with anxiety and depression. Exchanging the simplest of pleasantries can make you feel whole again, but the masks make it hard to engage with strangers and judge their emotions, so your big trip to the grocery store can make you feel lonely in a crowd.

So you go back home, still feeling lonely, and maybe you turn on the TV. Watching people interact is probably the next best thing to actual interaction, and it might even make you laugh. But have you ever wished you could talk to the people on TV? With [aniketdhole]’s EMOJO chatbot, you’ll feel as though you’re among friends. And technically you are — all the dialogue is from the TV show Friends.

In Castaway, Tom Hanks didn’t give that volleyball a frowny face, now did he? Nor does he have a dopey grin. Instead, he wears a wry smile that suggests depth of character and a grasp of the dire situation at hand. But now we have emoji, and they do a pretty good job of conveying and evoking emotion. EMOJO is a visual chatbot that uses voice and emoji to make easy, two-way conversation to help chase the loneliness away. It uses a Raspberry Pi and a TFT display to take voice input from a Bluetooth headset, convert it to text, and then respond in kind with both voice and text. It was a finalist in the rethink displays round of the Hackaday Prize, and we can’t wait to see how its character develops. Be sure to check out the demo after the break.

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Smart Camera Based On Google Coral

As machine learning and artificial intelligence becomes more widespread, so do the number of platforms available for anyone looking to experiment with the technology. Much like the single board computer revolution of the last ten years, we’re currently seeing a similar revolution with the number of platforms available for machine learning. One of those is Google Coral, a set of hardware specifically designed to take advantage of this new technology. It’s missing support to work with certain hardware though, so [Ricardo] set out to get one working with a Raspberry Pi Zero with this smart camera build based around Google Coral.

The project uses a Google Coral Edge TPU with a USB accelerator as the basis for the machine learning. A complete image for the Pi Zero is available which sets most of the system up right away including headless operation and includes a host of machine learning software such as OpenCV and pytesseract. By pairing a camera to the Edge TPU and the Raspberry Pi, [Ricardo] demonstrates many of its machine learning capabilities with several example projects such as an automatic license plate detector and even a mode which can recognize whether or not a face mask is being worn, and even how correctly it is being worn.

For those who want to get into machine learning and artificial intelligence, this is a great introductory project since the cost to entry is so low using these pieces of hardware. All of the project code and examples are available on [Ricardo]’s GitHub page too. We could even imagine his license plate recognition software being used to augment this license plate reader which uses a much more powerful camera.