A futuristic bed headboard has a continuous light with a hexagonal grid overlaid on top of it that wraps around the bed, much like an ovoid MRI machine.

This Headboard Contains An Artificial Sun

October 12, 2022 by Navarre Bartz 22 Comments

Despite the proliferation of artificial lighting, humans are still highly dependent on sunlight for regulation of our circadian rhythms. Accordingly, [Sector 07] has built a futuristic headboard that can help with the waking up side of things whether you’re headed to space or just in the dead of winter.

The interior of the headboard includes custom 3D printed panels to mount the electronics and a light diffusion screen made of nylon fabric. The printed parts were all joined by “welding” the pieces with a soldering iron and extra filament. Besides the futuristic hexagon motif in the diffusion screen, the most eye-catching part of this build is the curved ends making it look like a set piece from Star Trek: TNG. [Sector 07] was able to get the unique shape by kerf bending the plywood ends before joining them to the flat sections with dowels and wood glue.

Since this build also includes an integrated coffee maker and voice assistant, there’s a bit more going on with the electronics than you might have in a normal circadian lamp. Powering the project are two Arduino Mega boards and a SpeakUp Click that handles the voice commands. Wake-up times are controlled via a keypad, and the voice assistant, Prisma, will ask if you are awake once the 30 minute sun simulation has completed before your alarm goes off. If you don’t confirm wakefulness, Prisma will escalate alarms until the system is sure you’re awake and then will ask if you want coffee. If you want a deep dive into the system’s functionality, be sure to checkout the video after the break.

We’ve covered artificial suns before, so if you’re interested in trying to build you’re own you should check out this Hugely Bright Artificial Sun, a Sunrise Alarm Clock Mounted Above the Bed, and this Artificial Sun Via Old Satellite Dishes.

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Hackaday Prize 2022: Vintagephone Links The Past To The Present (and Future)

May 11, 2022 by Kristina Panos 21 Comments

Brrrrrrrring! Movies and TV are one thing, but the siren song of a rotary phone ringing in the same room as you is one of those sounds you carry forever. Not old enough to remember them? Ah, so what? There’s no reason to lose these beauties to the annals of time. In fact, we think more old phones should be repurposed so that present and future generations can experience the finger-hookin’ good time of the rotary dial and the high-voltage peal of those brass bells.

That’s exactly what [Giulio Pons] has done with Vintagephone — turned a rotary phone into a digital assistant with an analog interface. He’s reused all the good bits like the rotary dial, the bells, the handset, and the hang-up switch and connected them up to a Wemos ESP8266 development board with a mini motor driver shield and a voltage booster to ring the bells.

When it’s all said and done, [Giulio] will be able to set an alarm by dialing in the time, ring a number to get the current time and date, and ring another number to get the weather forecast. Reminds us of our childhood pastime of calling Time and Temperature to get outside verification that time had, in fact, passed inside the house on those boring rainy days.

Follow along with [Giulio] as the Vintagephone comes to life in the logs, which already have some great instructions for doing a similar number to an old phone you may have lying around. You can find the code on GitHub.

Got some old tech lying around? Teach it some new tricks and enter the Reuse, Recycle, Revamp round of the 2022 Hackaday Prize!

Homebrewed Voice Assistant Keeps An Eye On Air Quality

November 5, 2021 by Lewin Day 3 Comments

Voice assistants are now available from a wide variety of companies, however, [7402] didn’t like the idea of these devices sending data off to the cloud for potentially-nefarious purposes. Thus, the goal became to build a home voice assistant that worked entirely offline, and that’s precisely what [7402] achieved.

The system had limited goals compared to commercial competitors. [7402] was more than happy to deal with a limited vocabulary of understanding as a trade off for privacy. It’s all built around a Raspberry Pi Zero, which runs the Julius speech recognition library. Ultrasonic sensors are used to only activate the device when a person leans in and directly addresses the system.

Capabilities include reporting on the weather, switching light on and off, and advising users of air quality readings from the local authorities. Feedback to the user is via text-to-speech as well as flashing LEDs. The latter are used to create a quirky, retro “thinking” animation to indicate the system is processing, and has indeed heard a spoken command.

It’s a neat build, and one that covers most of the good things that commercial cloud devices are capable of anyway. As a bonus, no smartphone apps are required, nor will private companies impact the system’s functionality as it relies on no external servers to operate.

We’ve seen similar builds before too, such as this GlaDOS-themed voice assistant. Video after the break.

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Amazon Echo Gets Open Source Brain Transplant

March 22, 2021 by Tom Nardi 20 Comments

There’s little debate that Amazon’s Alexa ecosystem makes it easy to add voice control to your smart home, but not everyone is thrilled with how it works. The fact that all of your commands are bounced off of Amazon’s servers instead of staying internal to the network is an absolute no-go for the more privacy minded among us, and honestly, it’s hard to blame them. The whole thing is pretty creepy when you think about it.

Which is precisely why [André Hentschel] decided to look into replacing the firmware on his Amazon Echo with an open source alternative. The Linux-powered first generation Echo had been rooted years before thanks to the diagnostic port on the bottom of the device, and there were even a few firmware images floating around out there that he could poke around in. In theory, all he had to do was remove anything that called back to the Amazon servers and replace the proprietary bits with comparable free software libraries and tools.

Of course, it ended up being a little trickier than that. The original Echo is running on a 2.6.x series Linux kernel, which even for a device released in 2014, is painfully outdated. With its similarly archaic version of glibc, newer Linux software would refuse to run. [André] found that building an up-to-date filesystem image for the Echo wasn’t a problem, but getting the niche device’s hardware working on a more modern kernel was another story.

He eventually got the microphone array working, but not the onboard digital signal processor (DSP). Without the DSP, the age of the Echo’s hardware really started to show, and it was clear the seven year old smart speaker would need some help to get the job done.

The solution [André] came up with is not unlike how the device worked originally: the Echo performs wake word detection locally, but then offloads the actual speech processing to a more powerful computer. Except in this case, the other computer is on the same network and not hidden away in Amazon’s cloud. The Porcupine project provides the wake word detection, speech samples are broken down into actionable intents with voice2json, and the responses are delivered by the venerable eSpeak speech synthesizer.

As you can see in the video below the overall experience is pretty similar to stock, complete with fancy LED ring action. In fact, since Porcupine allows for multiple wake words, you could even argue that the usability has been improved. While [André] says adding support for Mycroft would be a logical expansion, his immediate goal is to get everything documented and available on the project’s GitLab repository so others can start experimenting for themselves.

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Kinect Gave Us A Preview Of The Future, Though Not The One It Intended

November 9, 2020 by Roger Cheng 13 Comments

This holiday season, the video game industry hype machine is focused on building excitement for new PlayStation and Xbox consoles. Ten years ago, a similar chorus of hype reached a crescendo with the release of Xbox Kinect, promising to revolutionize how we play. That vision never panned out, but as [Daniel Cooper] of Engadget pointed out in a Kinect retrospective, it premiered consumer technologies that impacted fields far beyond gaming.

Kinect has since withdrawn from the gaming market, because as it turns out gamers are quite content with handheld controllers. This year’s new controllers for a PlayStation or Xbox would be immediately familiar to gamers from ten years ago. Even Nintendo, whose Wii is frequently credited as motivation for Microsoft to develop the Kinect, have arguably taken a step back with Joy-cons of their Switch.

But the Kinect’s success at bringing a depth camera to consumer price levels paved the way to explore many ideas that were previously impossible. The flurry of enthusiastic Kinect hacking proved there is a market for depth camera peripherals, leading to plug-and-play devices like Intel RealSense to make depth-sensing projects easier. The original PrimeSense technology has since been simplified and miniaturized into Face ID unlocking Apple phones. Kinect itself found another job with Microsoft’s HoloLens AR headset. And let’s not forget the upcoming wave of autonomous cars and drones, many of which will see their worlds via depth sensors of some kind. Some might even be equipped with the latest sensor to wear the Kinect name.

Inside the Kinect was also one of the earliest microphone arrays sold to consumers. Enabling the Kinect to figure out which direction a voice is coming from, and isolate it from other noises in the room. Such technology were previously the exclusive domain of expensive corporate conference room speakerphones, but now it forms the core of inexpensive home assistants like an Amazon Echo Dot. Raising the bar so much that hacks needed many more microphones just to stand out.

With the technology available more easily elsewhere, attrition of a discontinued device is reflected in the dwindling number of recent Kinect hacks on these pages. We still see a cool project every now and then, though. As the classic sensor bar itself recedes into history, others will take its place to give us depth sensing and smart audio. But for many of us, Kinect was the ambitious videogame peripheral that gave us our first experience.

Robots Can Finally Answer, Are You Talking To Me?

November 8, 2020 by Matthew Carlson 25 Comments

Voice Assistants, love them, or hate them, are becoming more and more commonplace. One problem for voice assistants is the situation of multiple devices listening in the same place. When a command is given, which device should answer? Researchers at CMU’s Future Interfaces Group [Karan Ahuja], [Andy Kong], [Mayank Goel], and [Chris Harrison] have an answer; smart assistants should try to infer if the user is facing the device they want to talk to. They call it direction-of-voice or DoV.

Currently, smart assistants use a simple race to see who heard it first. The reasoning is that the device you are closest to will likely hear it first. However, in situations with echos or when you’re equidistant from multiple devices, the outcome can seem arbitrary to a user.

The implementation of DoV uses an Extra-Trees Classifier from the python sklearn toolkit. Several other machine learning algorithms were considered, but ultimately efficiency won out and Extra-Trees was selected. Another interesting facet of the research was determining what facing really means. The team had humans ‘listeners’ stand in for smart assistants. A ‘talker’ would speak the key phrase while the ‘listener’ determined if the talker was facing them or not. Based on their definition of facing, the system can determine if someone is facing the device with 90% accuracy that rises to 93% with per-room calibration.

Their algorithm as well as the data they collected has been open-sourced on GitHub. Perhaps when you’re building your own voice assistant, you can incorporate DoV to improve wake-word accuracy.

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Hackaday Prize China Finalists Announced

October 15, 2019 by Jenny List 3 Comments

In the time since the Hackaday Prize was first run it has nurtured an astonishing array of projects from around the world, and brought to the fore some truly exceptional winners that have demonstrated world-changing possibilities. This year it has been extended to a new frontier with the launch of the Hackaday Prize China (Chinese language, here’s a Google Translate link), allowing engineers, makers, and inventors from that country to join the fun. We’re pleased to announce the finalists, from which a winner will be announced in Shenzhen, China on November 23^rd. If you’re in Shenzen area, you’re invited to attend the award ceremony!

All six of these final project entries have been translated into English to help share information about projects across the language barrier. On the left sidebar of each project page you can find a link back to the original Chinese language project entry. Each presents a fascinating look into what people in our global community can produce when they live at the source of the component supply chain. Among them are a healthy cross-section of projects which we’ll visit in no particular order. Let’s dig in and see what these are all about!

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