We’ve seen lots of power supply projects that start with an ATX PC power supply. Why not? They are cheap and readily available. Generally, they perform well and have a good deal of possible output. [Maco2229’s] design, though, looks a lot different. First, it is in a handsome 3D-printed enclosure. But besides that, it uses a TFX power supply — the kind of supply made for very small PCs as you’d find in a point of sale terminal or a set-top box.
This open source analyzer comes with an easy-to-use setup and tests each and every parameter of a stepper motor.
If you have a 3D printer and want to analyze the stepper motor signals without the use of a computer and expensive stepper analyzer, then this low-cost hardware design can solve your problem. The open source analyzer comes with an easy-to-use setup and can be easily built to give you the capabilities to test each and every parameter of the stepper motor.
A thimble which, thanks to a GY-521 and an Arduino Leonardo, is able to control the mouse pointer.
Developed using the TinyUSB library, this project receives MIDI messages via USB and decodes them for printing via UART.
Pseudonymous developer “boochow” has used the popular Raspberry Pi Pico in the heart of a MIDI device with a difference: Rather than making music, it’s designed to monitor and display the MIDI signals received from a USB MIDI device.
Your favorite device has just run out of juice, so you quickly take off the cover and reach into that old stash of alkaline batteries you have lying around. After trying countless combinations, you still cannot be sure they’re working properly, as each one has been slightly used. If only there were a way to know.
I keep having to up the anti. First it was white tiles with one color or paint. Then white tile with two colors of paint. Now I am trying white tile with FOUR colors of paint and some with three. I will be laying down a combination of yellow, orange, red, and black. Also yellow, green, and black.
The idea is to burn through the black to show the color under it. Also to burn through that color to reveal the color under that and so on until you get down to the white tile. I wanted to try doing the sun tile again with the yellow, orange, red, and black paint. That way as I burned deeper into the paint, it would look like the hotter parts of the sun. There were two major mistakes I made with this project. The first was to not wait long enough between layers of paint.
This caused the next layers to interact with the layer under it to make it look cracked. The yellow also spat out of the cat at first. I had not had this happen before. I knew it could be an issue and that is why you should always do a quick test spray from the can to insure a fine mist before you spit paint onto your target. In addition to not waiting long enough between layers was to put a NON-WATER BASED clear finish on the tiles.
This also reacts with the paint and bubbles it up. Kind of like putting lacquer thinner on paint to remove it. The textures look is kind of cool but not what I was going for.
Sometimes you need to quickly check the state of the device and having to use a computer for that can be a bit bothersome. A pocket-sized debugger that can monitor and display the data stream is the perfect solution for that!
On the upper right corner, there’s a pin header (RX, TX, GND) meant to be connected to the device you want to receive data from. The current iteration is only 5V tolerant, in the future we plan to add a switch to shift between the 5V and 3.3V logic levels.
We’ve used an ILI93441 2.2″ TFT display and an ATmega328P microcontroller (the design is based on the Arduino Nano schematic) for reading and displaying the serial data. We’ve also added a rotary encoder with push button, which can be used to switch between different baud rates, scroll through the text or pause/resume autoscrolling.
You can download all files here https://cults3d.com/en/3d-model/home/…
A device that automatically dispenses cereal when a face is recognized on a Raspberry Pi camera running OpenCV.
Breakfast is arguably the most important meal of the day. Nearly a quarter of individuals in the U.S do not eat breakfast and this mainly due to not having enough time in the mornings. I believe that time is not the issue robbing us of our sweet sustenance and is a simple fact that cereal boxes are too heavy. I wanted to create a machine that would use Artificial Intelligence to detect specific people and pour the cereal they like for them to conserve the critical energy that is needed to tackle the day. Picking up a cereal box has gotten more and more difficult throughout the years with the increase in cereal box size. To combat the strain to muscles that daily cereal box pouring can cause, my device makes it easy to keep your weak muscles safe and nourished.
