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.

Installing Linux Like It’s 1989

A common example of the sheer amount of computing power available to almost anyone today is comparing a smartphone to the Apollo guidance computer. This classic computer was the first to use integrated circuits so it’s fairly obvious that most modern technology would be orders of magnitude more powerful, but we don’t need to go back to the 1960s to see this disparity. Simply going back to 1989 and getting a Compaq laptop from that era running again, while using a Raspberry Pi Zero to help it along, illustrates this point well enough.

[befinitiv] was able to get a Raspberry Pi installed inside of the original computer case, and didn’t simply connect the original keyboard and display and then call it a completed build. The original 286 processor is connected to the Pi with a serial link, so both devices can communicate with each other. Booting up the computer into DOS and running a small piece of software allows the computer into a Linux terminal emulator hosted on the Raspberry Pi. The terminal can be exited and the computer will return back to its original DOS setup. This also helps to bypass the floppy disk drive for transferring files to the 286 as well, since files can be retrieved wirelessly on the Pi and then sent to the 286.

This is quite an interesting mashup of new and old technology, and with the Pi being around two orders of magnitude more powerful than the 286 and wedged into vacant space inside the original case, [befinitiv] points out that this amalgamation of computers is “borderline useful”. It’s certainly an upgrade for the Compaq, and for others attempting to get ancient hardware on the internet, don’t forget that you can always use hardware like this to access Hackaday’s retro site.

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The Game Boy As You Have Never Seen It Before Is Newest From [Sprite_tm]

Explain a Game Boy to a child in 2021 and they’ll have little idea of how much impact that chunky grey brick had back in the day. Search for a YouTube video to demonstrate, and you might find the one we’ve put below the break. It starts with the classic Tetris on the Game Boy, then moves on to Super Mario World before treating us to Sonic the Hedgehog, and finally Doom. All seminal games of the Game Boy’s heyday, with one small problem. The last three were never Game Boy titles, and certainly wouldn’t have run on the device’s limited hardware. Most of you will by now not be surprised to find that the narrator is none other than [Sprite_tm], and his Game Boy has one of the nicest Raspberry Pi conversions we’ve ever seen.

Given his previous work we expected the cartridges to have an ESP32 on board that  somehow mapped into Game Boy display memory, but in fact he’s swapped the original Nintendo motherboard with a replacement carrying an ICE40 FPGA on one side to handle the Nintendo hardware and a Pi Zero on the other to do the heavy lifting. Insert a Game Boy cartridge and it emulates the original to the point you’d never suspect it wasn’t the real thing, but insert one of the non Game Boy cartridges and it passes an identifier to the Pi which launches a script to run the appropriate Pi code. So the Mario and Sonic games are running in Pi-based emulators, and Doom is running natively on the Pi. It gives the appearance of a seamless gaming experience, wherein lies its charm.

This project certainly has the quality we’ve come to expect from Sprite, and a quick flick through these pages will show plenty of previous examples. One of the most recent was a miniature working DEC VT100 terminal containing an emulated PDP minicomputer.

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