Tiny Ethernet Routers Now Available In Gigabit Speeds

If you need to move a lot of data, and fast, Gigabit Ethernet is a great way to do it. However, most network hardware outside of datacenters is fairly space inefficient, a headache if you’re building a robot or drone. Enter the Gigablox, a super-compact Gigabit router for just these applications.

The Gigablox takes its mission seriously, with its compact size the ultimate design goal. The entire switch fits on a tiny 45 mm x 45 mm PCB. To this end, it eschews the common RJ45 connector, which is bulkier than necessary. Instead, thin Molex PicoBlade connectors are used for the five ports on board. Cables are included to convert between the two connectors, and obviously crimping ones own is easy to do, too. For those who need to connect more devices, several Gigablox can be hooked up in the same way as any other Ethernet switch. The Gigablox is a non-blocking switch, too – meaning all five ports can run at full speed simultaneously.

The design is the sequel to the SwitchBlox, and the later SwitchBlox Nano, both designed by [Josh Elijah] earlier this year. The pace of development is impressive, and it’s great to see [Josh] bring Gigabit speeds to the compact form factor. We can imagine a few good uses for these boards; share your best ideas in the comments below! Video after the break.

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TV Head Is Great Replacement For Your Real Head

The head is one of the few parts of the body that it seems impossible to live without. Many people are, of course, not happy with the one they’ve been given. For those dreaming of a more digital replacement, [Vivian’s] TV Head might be just the accessory to meet those needs.

The build starts with an old CRT, which [Vivian] promptly gutted to make room for her head. In place of the original tube, a thin polycarbonate sheet was installed with window tint applied. Behind this, rows of WS2812B are set up in a grid, spaced apart just enough to allow the wearer to see through.  The setup is controlled by a Circuit Playground Express. A small PS/2 keyboard is used to control the light show, and the onboard accelerometer can be used for gravity reactive animations.

For some reason, screens as heads are remarkably emotive, and we kind of want one for daily wear. We can imagine it making a great Halloween costume, too. If you’ve always wanted to cosplay as one of those colorful robots from the Opening Ceremony of the 2002 World Cup, here’s your chance. You will not be surprised that this isn’t the first TV head we’ve featured. Video after the break.

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“Enhance” Is Now A Thing, But Don’t Believe What You See

It was a trope all too familiar in the 1990s — law enforcement in movies and TV taking a pixellated, blurry image, and hitting the magic “enhance” button to reveal suspects to be brought to justice. Creating data where there simply was none before was a great way to ruin immersion for anyone with a modicum of technical expertise, and spoiled many movies and TV shows.

Of course, technology marches on and what was once an utter impossibility often becomes trivial in due time. These days, it’s expected that a sub-$100 computer can easily differentiate between a banana, a dog, and a human, something that was unfathomable at the dawn of the microcomputer era. This capability is rooted in the technology of neural networks, which can be trained to do all manner of tasks formerly considered difficult for computers.

With neural networks and plenty of processing power at hand, there have been a flood of projects aiming to “enhance” everything from low-resolution human faces to old film footage, increasing resolution and filling in for the data that simply isn’t there. But what’s really going on behind the scenes, and is this technology really capable of accurately enhancing anything?

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Building A Mask To Induce Lucid Dreaming

While dreams are generally thought of as the unconscious wanderings of the mind, that’s not the full story. Lucid dreams are ones in which the individual is conscious or semi-conscious in the dream state, and may be able to control the dream environment. Over the years, various devices have been used to generate these dream states more reliably. [Ben] decided to have a go at building his own, inspired by designs from the 1990s.

To induce lucid dreaming, the aim is to first detect that the mask wearer is in REM sleep. This is commonly done with an infrared eye tracker, which detects the rapid twitching of the eye. [Ben] used the onboard IR proximity sensor on the Adafruit Circuit Playground Express to pull this off. The accelerometer hardware was then used to detect if the wearer was still, indicating they are indeed fully asleep. Once the user is in the correct state, the mask then flashes LEDs which are intended to be visible to the wearer while dreaming. This allows them to realise they are dreaming, and thus enter a conscious, lucid state.

[Ben] doesn’t report the success rate at using the mask, but we’d love to know more about how well the mask works. We’ve seen others do similar work before, and even a recent Hackaday Prize entry. Video after the break.

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DIY Camera Motion Rig Is Mostly 3D Printed

These days, Youtube is more competitive than ever. Creators put out videos of wildly expensive, complex projects with equally pricy camera gear. [Do It Whenever?] wanted to join the arms race, building his own camera rig for smooth, swooping shots.

The rig consists of a series of 3D printed axes all joined together into a 6-axis motion rig. Additionally, actuators attached to the lens of the camera allow zoom and focus to be be controlled programmatically too. An Arduino runs the show, interpreting G-code and running the various axes, with a Raspberry Pi acting as a gateway to allow the rig to be commanded from PCs or smartphones.

Currently, control is largely manual, by entering G-code commands to move the rig in various ways. The rig can also have its motors temporarily disengaged by a button, allowing the camera to be aimed by hand, before holding the position. In this way, it acts as a highly versatile tripod. Future plans involve more automation if suitable open-source software can be found.

It’s an impressive rig, even if it hasn’t quite found the perfect software to fully exploit its capabilities yet. We’ve seen similar builds before, too. Video after the break.

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The Most Annoying Among Us Tasks Created In Real Life

Among Us is a hit game of deception and intrigue. Those who have played it know the frustration of trying to complete some of the intentionally difficult tasks onboard the Skeld. [Zach Freedman] decided to recreate some of these in real life.

[Zach] built what are arguably the three most frustrating tasks from the game. There’s the excruciatingly slow upload/download station built out of an old Samsung tablet and an NFC tag, and the reactor start console created using a Raspberry Pi 3B, Teensy 3.2, and a custom mechanical keyboard. But perhaps most annoying of all is the infamous card reader. Built with another Teensy, it requires the user to swipe their ID card at just the right speed, except that speed is randomly generated for every swipe. Also, the machine fails 20% of good swipes just because. Perhaps what we love most is the way [Zach] recreated the classic VFD look by putting an OLED display behind bottle-green plastic and using a 14-segment font.

It’s a fun homage to a wildly successful indie game, and we could imagine these props would be a hit at a makerspace party. We’ve featured other Among Us themed builds before, too. Video after the break.

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Artistic Robot Has Paints, Will Travel

Creativity is a very human trait, and one that many try to emulate with robots. Some focus on the cerebral side of things, working with neural networks and machine learning to produce new artistic output. Others work on the mechanical side, building ‘bots that can manipulate tools in the real world for artistic purposes. [Technovation]’s latest build falls into the latter category – a small Arduino-powered ‘bot that likes to paint.

The robot moves around on two wheels, each driven by a stepper motor for accurate movement. The paintbrush itself is controlled with another stepper, which rotates it between the paint pots and the canvas. A servo is used to dip the brush into pots, and to apply it to the canvas. An Arduino Uno runs the show, with the robot currently programmed to paint random lines of various colors on the canvas.

By virtue of its roving design, it could theoretically paint on arbitrarily large canvasses. It’s a platform that could prove highly capable when paired with a neural network and perhaps some machine vision to allow it to concoct more complex artworks. We’ve seen other paint bots before, too. Video after the break.

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