384 Neon Bulbs Become Attractive Display

Neon lights have inspired much prose over the years, with their attractive light output receiving glowing adulation. [Pierre Muth] is a big fan, and decided to spend lockdown creating something suitably pretty for his desk.

An 8×8 segment of the total panel. The display draws 40W at 5V with all pixels on at the same time.

The project consists of an 8×48 matrix display constructed out of INS-1 (ИНC-1) tubes. These tiny neon tubes are 6.5 mm in diameter, showing a bright orange dot of light when powered up. Requiring just 100 V and 0.5 mA to light, they’re a touch easier to drive than the famous Nixie.

[Pierre] decided to go all out, wishing to replicate the capabilities of smart LEDs like the WS2812. These contain a microcontroller built in to each LED, so [Pierre] would have to do the same. Each of the 384 neon tubes got its own bespoke PCB, containing a PIC16F15313 microcontroller, step up voltage circuitry, and a 6-pin connector. (Whoah!) When each bulb was soldered to its PCB, they were then plugged into a backplane. An ESP32 was then employed to drive the display as a whole.

Creating a display in this fashion takes a huge amount of work, with most of it being soldering the 384 individual bulb PCBs containing 11 components each. We have a lot of respect for [Pierre]’s work ethic to get this done during lockdown, and the final result is a gloriously retro neon matrix display. We’ve featured other neon matrixes recently, too. Video after the break. Continue reading “384 Neon Bulbs Become Attractive Display”

Die Lapping For Better CPU Performance

CPUs generate their heat in the silicon die that does all those wonderful calculations which make our computers work. But silicon conducts heat fairly poorly, so the thinner your CPU die, the better it will conduct heat out to the heatsink. This theoretically promises better cooling and thus more scope for performance. Thus, it follows that some overclockers have taken to lapping down their CPU dies to try and make a performance gain.

It’s not a simple process, as the team at [Linus Tech Tips] found out. First, the CPU must be decapped, which on the Intel chip in question requires heating to release the intermediate heat spreader. A special jig is also required to do the job accurately. Once the bare CPU is cleaned of all residual glue and heat compounds, it can then be delicately lapped with a second jig designed to avoid over-sanding the CPU.

After much delicate disassembly, lapping, and reassembly, the CPU appears to drop 3-4 degrees C in benchmarks. In overclocking terms, that’s not a whole lot. While the process is risky and complicated for little gain, the underlying premise has merit – Intel thinned things out in later chips to make minor gains themselves. Video after the break.

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Flipping A Coin 10,000 Times With A Dedicated Machine

Flipping a coin is often the initial example used to help teach probability and statistics to maths students. Often, there is talk of how, given a fair coin, the probability of landing heads or tails should approach 0.5. Of course, if you want to test this, it pays to have a machine do the hard work for you. [Andrew Consroe] has the rig to do just that.

The build consists largely of 3D printed parts. A large cylindrical shroud is used to keep the coin within the flipping area. A spring-loaded dowel is actuated by a stepper motor spinning a cam, which flips the coin. Once the coin has landed, it is photographed with a webcam. An image processing pipeline then determines whether the coin landed heads or tails. A black spot is used on one side of the coin to aid analysis, as the poor-quality webcam images weren’t good enough to recognise the coin in its standard form. Once the flip has been analysed, a sliding aperture is used to push the coin back towards the flipper for the next cycle.

The machine completes a flip approximately every two seconds, meaning 10,000 flips would take approximately 2.5 days. Unfortunately, due to noise and occasional coin escapes, [Andrew] hasn’t yet been able to achieve his goal. He aims to increase speed significantly before making an all-out attempt.

Coin flips can make for decent random numbers, but if you need better ones, perhaps NIST can help you out. Video after the break.

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Life Size Lancer Becomes Gears Of War Motion Controller

Gears of War is a franchise famous for its giant gun with a big chainsaw on the front. [Eric] laid his hands on a toy replica, and decided it had to become a usable motion controller for the game.

The build is straightforward, following the usual format for motion controller builds. Fitted with a gyroscope and accelerometer, it’s interfaced to the PC using a microcontroller. The toy has a trigger which is hooked up to the fire button in game. Additional buttons were added to the shell for movement and other actions such as reloading and finding cover. As a nice final touch, the large pull handle on the left of the weapon is used to activate the chain saw in-game.

While it’s unlikely to be competitive with a mouse or even gamepad in practice, it’s hard to argue against the fun of wielding a full-size, 10-pound weapon when playing Gears of War 5. [Eric] has also shared a basic controller hacking guide for those eager to get into similar builds themselves. We’ve featured [Eric]’s work before, too – with this epic Minecraft pickaxe build. Video after the break.

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A Portable Home Air Quality Meter With The ESP32

Around the world, rolling pandemic lockdowns have left many working from home. [kn100] is in just such a predicament, and while spending nearly 24 hour a day in a residential flat, got wondering about air quality. Thus, it was time to build some gear to keep an eye on things!

Grafana may require a database and some work to set up, but the results are to die for.

The build consists of an ESP32 hooked up to a Bosch BME680 air quality sensor. It measures pressure, temperature, humidity and gas resistance, and then with a closed source library, uses this to calculate an “Air Quality Index” as well as estimate CO2 and VOC levels in the air. Data is passed from the ESP32 over MQTT to a Raspberry Pi. This runs Mosquitto for handling the MQTT queries, saving the data in an Influxdb instance. Grafana is then used to query this database and produce attractive graphs of the data.

It’s a build that not only helps keep an eye on things in the flat, but is great practice for building solid Internet of Things devices with top-notch data visualisation. We’ve talked about how to do this before, too – so if you need this capability in your life, there’s no excuse not to get hacking!

Finding The Random Seed Of Minecraft’s Title Screen

Minecraft is a game about exploring procedure-generated worlds. Each world is generated from a particular “seed” value, and sharing this seed value allows others to generate the same world in their own game. Recently, the distributed computing project Minecraft@Home set about trying to find the seed value of the world shown in the Minecraft title screen, and have succeeded in their goal.

The amount of work required to complete this task should not be underestimated. 137 users contributed 181 hosts with 231 GPUs to the effort, finding a solution in under 24 hours. The list of contributors to the project is a long one. It appears the method to find the seed involved comparing screenshots from various seed worlds to the original image. This took a lot of reverse engineering in order to calculate the camera FOV and other settings of the original capture, such that the results could be compared accurately. Interestingly, the group found two seeds that can generate the requisite world, suggesting the world generator code has some collisions between seed values.

We’re not sure what’s more astounding, the amount of work that went into the project, or that there’s a distributed computing project tackling advanced Minecraft research. Either way, we’re no strangers to Minecraft hacks around these parts. Video after the break. Continue reading “Finding The Random Seed Of Minecraft’s Title Screen”

Raspberry Pi Shuffler Is Computerized Card Shark

If you’re playing Texas Hold’em or other card games with a small group, you may get tired of shuffling over and over again. [3dprintedLife] was in just such a position, and realized there were no good automatic card shufflers in his budget. Instead, he elected to build one, and put in some extra functionality to corrupt the game to his whims.

The mechanicals of the machine took much development, as accurately handling and dispensing cards is a challenge, particularly with the loose tolerances of 3D printed parts. After developing a reliable transport mechanism, it was more than capable of shuffling a deck well with some basic commands.

However, the real magic comes from installing a camera and Raspberry Pi running OpenCV. This is capable of reading the value and suit of each card, and then stacking the deck in a particular order to suit the dealer’s wishes. It’s all controlled through a web interface and is capable of creating guaranteed wins in Blackjack and Texas Hold’em. Files are on Github for those eager to delve deeper into how the machine works.

The mechanism does such a beautiful job of shuffling, that your friends may not even notice the ruse. It goes to show that you should always have your wits about you when gambling with the aid of machines. Of course, if you wish only to create havoc, this Lego card machine gun may be more your speed. Video after the break.

[via Reddit]

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