ArduinoMania

What would you get if you crossed a gigantic Christmas tree ornament with an LED strip and Arduino/IMU control? Perhaps you’d come up with something akin to this colorful “RGB LED Ball” by James Bruton.

The device features eight curved supports along with a central hub assembly, forming a structure for APA102 RGB LED strips. Each of these is linked together via wiring that winds through the central hub making them appear to the Arduino Mega controller as one continuous chain of lights. 

Several animations can be selected with a pair of control buttons, and the ball even responds to movement using an MPU6050 IMU onboard. Files for the build are available on GitHub.

Stroboscopes produce carefully timed pulses of light in order to make a rotating object appear still. While this may seem like something of an exotic concept, YouTuber Mr. Innovative decided to build his own using an Arduino Nano.

His project uses a PN2222A transistor to drive a 10W LED, which acts as the device’s light source. The spinning RPM is set via a potentiometer, and a small OLED provides user feedback.

As shown in the video below, the stroboscope is able to cause a sign spinning around on a fan to appear nearly stationary. If you’d like to create you own, Arduino code is available here.

Underneath the sea are a wide variety of strange and amazing animals. Perhaps none more so than the anglerfish, with its characteristic light-up lure in front of its face. Club Asimov decided to recreate this fish in a steampunk style, using a linkage system to actuate the tail, and another to open and shut its menacing mouth.

Three stepper motors provide power for the fish’s movements, and two Arduino boards are used for control. Additionally, the fish’s lure illuminate to attract human observers, along with a heart that rhythmically lights up.

You can see this mechanical marvel in action in the first video below, while the second provides background on how it was made.

Instructables user “r570sv” needed a marker to find his way back to camp at Burning Man 2018, and decided to make a trio of LED dancing robots that could be raised high up on a pole. The idea is that he could see this from anywhere in the desert, making it great for this particular event—and perhaps for later expeditions, such as beach camping.

The robots were bent out of 1/8” steel wire, with single-color red LED strips affixed to it using zip ties. Three robotic panels are sequentially lit up using an Arduino and a bank of relays to form animations, similar to a neon sign. The flagpole used to raise the animated sculpture was affixed to his truck, creating a sturdy base as well as convenient source of 12V power.

I wanted to make something so I could find our camp at night at Burning Man 2018. 2018 was a robot theme and I’m a fan of neon but no way was gonna head that route so I came up with an idea about a dancing cocktail glass kinda robot.

We beach camp and have sand rails so I know how useful flying some kind of flag can be during the day and some kind of LED light pole is at night. So I figured, use it an burning man and keep using when we go to the beach.

So using metal and welding is in my wheel house and I’m good with Arduinos so that’s the medium that I chose to implement this project in.

As reported here, digital artist Matthias Dörfelt has created an art vending machine in an attempt to increase awareness around blockchain possibilities, as well as how we handle our personal information.

Face Trade, now on display at Art Center Nabi in Seoul, takes the form of a large vaguely face shaped box. When it detects a human in front of it, the installation invites the participant to swap his or her face for art, confirmed using a large yellow button that connects to the system’s computer via an Arduino.

Once confirmed, Face Trade snaps the person’s picture and uploads it to a blockchain in exchange for a computer generated facial image. The resulting art’s conflicted expression is meant to signify the good and bad possibilities that can come out of using this technology. For their trouble, participants also get a receipt showing their captured headshot that now appears along with each transaction on itradedmyface.com.

Face Trade consists of a camera flash, webcam, receipt printer, inkjet printer, computer, speakers, LCD screen, button and an Arduino (to control the button, LCD screen and camera flash).

The main application that ties everything together is written in Python. It uses OpenCV to do basic face tracking and take the images. All the Ethereum related things were done using web3.py which is the official python version of web3 to interact with the Ethereum blockchain. The receipt printer, inkjet and Arduino are controlled via Python, too. The process is comprised of taking a picture, uploading it to the blockchain, passing the resulting transaction hash to the face drawing generator that uses it to seed the random numbers (so that each face drawing is uniquely tied to the transaction that it belongs to), printing the resulting drawing and finally printing the receipt.