Raspberry Pi Laptop Uses The Official Touchscreen

February 12, 2017 by Jenny List 20 Comments

We’ve seen a variety of home-made laptops using the Raspberry Pi and other single board computers over the years. Usually, they combine off-the-shelf USB keyboards and trackpads with HDMI monitor panels, and cases made from layered laser cut sheet, or 3D printed plastic.

[Surferboy]’s Raspberry Pi laptop is the latest effort to come before us, and its claim to fame is the use of the official Raspberry Pi 7″ touchscreen as a display. Full instructions and 3D printer files are available on Thingiverse so you can have a go at replicating it if a portable Pi is your thing.

He’s taken the bold step of not attempting to place all the Pi’s interfaces next to the outside of the case. Instead, he’s desoldered the Ethernet and USB ports. The USB connections were wired directly to the keyboard, display, and a couple of external ports on the right-hand side of his case. This leaves the finished laptop with no Ethernet. However, losing ethernet is a worthy tradeoff for the thinner package.

[Surferboy] also brought the GPIO header to a female socket on the rear of the unit. It’s unclear exactly what battery he uses except for a reference to the battery from his keyboard. Since a keyboard battery will be too small for Pi and display we are guessing a larger pack will be necessary.

Though the Ethernet port and battery issue would probably be a dealbreaker here this has the makings of a useful and compact laptop, it will be interesting to see if it is picked up and refined by the community.

Quite a few early Pi laptops used the Motorola Lapdock, a mobile-phone-into-netbook peripheral. Some others we’ve featured have been a bit chunky, but sometimes they can be objects of beauty.

Via Recantha.co.uk.

LoRaWAN And Raspberry Pi Compute Module For A Remote Display

February 8, 2017 by Jenny List 5 Comments

We see a lot of Raspberry Pi projects on these pages featuring all variants of the little board from Cambridge, but with one notable exception. Surprisingly few of them have featured its industrial embedded cousin, the Raspberry Pi Compute Module. The Pi-on-a-SODIMM form factor is a neat idea, but we are guessing that the high price of the development board relative to that of a Model B or a Pi Zero has pushed most people in our community towards the latter choice.

[Andrew Back] has put up a straightforward demonstration project on the RS DesignSpark site that provides an introduction to the Compute Module 3, using it to run a remotely operated display. In addition it uses an RN2483 LoRaWan radio module and The Things Network for communication, which makes it worth a look even if the Compute Module wasn’t of interest. Continue reading “LoRaWAN And Raspberry Pi Compute Module For A Remote Display” →

Adding IceZero To The Raspberry Pi

February 8, 2017 by Brian Benchoff 24 Comments

[Kevinhub] noticed there were quite a few FPGA hats for the Raspberry Pi. Instead going out and buying one of these boards like a filthy commoner, he decided to spin up his own FPGA Pi accessory. This IceZero FPGA board combines the best features from other FPiGA boards, and does it in a form factor that fits right on top of the minuscule Pi Zero.

If you think slapping a Lattice FPGA onto a Pi has been done before, you’re right. Here’s a hat for the Pi using an iCE5LP4K-SG48, an FPGA with 3520 LUTs. The CAT Board from Xess has a slightly bigger FPGA with 7680 logic cells, and the FleaOhm has a monster FPGA on board that costs about $70 USD.

[Kevin]’s IceZero is at the lower end of these Raspberry Pi FPGA hats, using a Lattice ICE40HX4K. That’s only 3520 logic cells, but it only costs about $7 USD in quantity one. The board design is a standard two layer board that shouldn’t be too terrible for hand soldering. The boards are shared on OSH Park, should you want to test this little guy out.

This Pi Hat is specifically designed to be used with Project IceStorm, the Open toolchain for Lattice’s iCE40 FPGAs. That means there’s already a few projects out in the wild that can be easily ported to this platform, and already [Kevin] has a logic SUMP example going on his board.

Open Your Garage Door With Your Smartphone

January 31, 2017 by James Hobson 42 Comments

The eternal enemy of [James Puderer]’s pockets is anything that isn’t his smartphone. When the apartment building he resides in added a garage door, the forces of evil gained another ally in the form of a garage door opener. So, he dealt with the insult by rigging up a Raspberry Pi to act as a relay between the opener and his phone.

The crux of the setup is Firebase Cloud Messaging (FCM) — a Google service that allows messages to be sent to devices that generally have dynamic IP addresses, as well as the capacity to send messages upstream, in this case from [Puderer]’s cell phone to his Raspberry Pi. After whipping up an app — functionally a button widget — that sends the command to open the door over FCM, he set up the Pi in a storage locker near the garage door and was able to fish a cable with both ethernet and power to it. A script running on the Pi triggers the garage door opener when it receives the FCM message and — presto — open sesame.

Continue reading “Open Your Garage Door With Your Smartphone” →

Raspberry Pi SDR

January 27, 2017 by Al Williams 13 Comments

[Chris D] noticed that the excellent software defined radio (SDR) software gqrx will run on the Raspberry Pi now. So he married a Raspberry Pi 3, a touchscreen, an RTL-SDR dongle, and an upconverter to make a very nice receiver setup. You can see the receiver in action below.

The video is a little light on build details, but there is a shot of the setup with the pieces labeled, and you should be able to figure it out from there. Of course, gqrx works with lots of different SDR devices so you might have to make adjustments depending on what you use (for example, many of the supported dongles won’t need the upconverter that [Chris] uses).

Continue reading “Raspberry Pi SDR” →

Build Your Own P-Brain

January 26, 2017 by Rich Hawkes 27 Comments

I don’t think we’ll call virtual assistants done until we can say, “Make me a sandwich” (without adding “sudo”) and have a sandwich made and delivered to us while sitting in front of our televisions. However, they are not completely without use as they are currently – they can let you know the time, weather and traffic, schedule or remind you of meetings and they can also be used to order things from Amazon. [Pat AI] was interested in building an open source, extensible, virtual assistant, so he built P-Brain.

Think of P-Brain as the base for a more complex virtual assistant. It is designed from the beginning to have more skills added on in order to grow its complexity, the number of things it can do. P-Brain is written in Node.js and using a Node package called Natural, P-Brain parses your request and matches it to a ‘skill.’ At the moment, P-Brain can get the time, date and weather, it can get facts from the internet, find and play music and can flip a virtual coin for you. Currently, P-Brain only runs in Chrome, but [Pat AI] has plans to remove that as a dependency. After the break, [Pat AI] goes into some detail about P-Brain and shows off its capabilities. In an upcoming video, [Pat AI]’s going to go over more details about how to add new skills. Continue reading “Build Your Own P-Brain” →

Objectifier: Director Of Domestic Technology

January 26, 2017 by Anool Mahidharia 37 Comments

[Bjørn Karmann]’s Objectifier is a device that lets you control domestic objects by allowing them to respond to unique actions or behaviour, using machine learning and computer vision. The Objectifier can turn on a table lamp when you open a book, and turn it off when you close the book. Switch on the coffee maker when you place the mug next to the pot, and switch it off when the mug is removed. Turn on the belt sander when you put on the safety glasses, and stop it when you remove the glasses. Charge the phone when you put a banana in front of it, and stop charging it when you place an apple in front of it. You get the drift — the possibilities are endless. Hopefully, sometime in the (near) future, we will be able to interact with inanimate objects in this fashion. We can get them to learn from our actions rather than us learning how to program them.

The device uses computer vision and a neural network to learn complex behaviours associated with your trigger commands. A training mode, using a phone app, allows you to train it for the On and Off actions. Some actions require more human effort in training it — such as detecting an open and closed book — but eventually, the neural network does a fairly good job.

The current version is the sixth prototype in the series and [Bjørn] has put in quite a lot of work refining the project at each stage. In its latest avatar, the device hardware consists of a Pi Zero, a Raspberry-Pi camera module, an SMPS power brick, a relay block to switch the output, a 230 V plug for input power and a 230 V socket outlet for the final output. All the parts are put together rather neatly using acrylic laser cut support pieces, and then further enclosed in a nice wooden enclosure.

On the software side, all of the machine learning part is taken care of using “Wekinator” — a free, open source software that allows building musical instruments, gestural game controllers, computer vision or computer listening systems using machine learning. The computer vision is handled via Processing. All the code is wrapped using openframeworks, with ml4A providing apps for working with machine learning.

All of the above is what we could deduce looking at the pictures and information on his blog post. There isn’t much detail about the hardware, but the pictures are enough to tell us all. The software isn’t made available, but maybe this could spur some of you hackers into action to build another version of the Objectifier. Check out the video after the break, showing humans teaching the Objectifier its tricks.

Continue reading “Objectifier: Director Of Domestic Technology” →