[Solarbotics] have shared a video of their DIY wire spooler that uses OpenBeam hardware plus some 3D printed parts to flawlessly spool wire regardless of spool size mismatches. Getting wire from one spool to another can be trickier than it sounds, especially when one spool is physically larger than the other. This is because consistently moving wire between different sizes of spools requires that they turn at different rates. On top of that, the ideal rate changes as one spool is emptying and the other gets larger. The wire must be kept taut when moving from one spool to the next; any slack is asking for winding problems. At the same time, the wire shouldn’t be so taut as to put unnecessary stress on it or the motor on the other end.
There aren’t any build details but the video embedded below gives a good overview and understanding of the whole system. In the center is a tension bar with pulleys on both ends though which the wire feeds. This bar pivots at the center and takes up slack while its position is encoded by turning a pot via a 3D printed gear. Both spools are motor driven and the speed of the source spool is controlled by the position of the tension bar. As a result, the bar automatically takes up any slack while dynamically slowing or speeding the feed rate to match whatever is needed.
Continue reading “DIY Wire Spooler with Clever Auto-Tensioning System”
It’s 2017 and even GoPro cameras now come with voice activation. Budding videographers, rest assured, nothing will look more professional than repeatedly yelling at your camera on a big shoot. Hackaday alumnus [Jeremy Cook] heard about this and instead of seeing an annoying gimmick, saw possibilities. Could they automate their GoPro using Arduino-spoken voice commands?
It’s an original way to do automation, for sure. In many ways, it makes sense – rather than mucking around with trying to make your own version of the GoPro mobile app (software written by surfers; horribly buggy) or official WiFi remote, stick with what you know. [Jeremy] decided to pair an Arduino Nano with the ISD1820 voice playback module. This was then combined with a servo-based panning fixture – [Jeremy] wants the GoPro to pan, take a photo, and repeat. The Arduino sets the servo position, then commands the ISD1820 to playback the voice command to take a picture, before rotating again.
[Jeremy] reports that it’s just a prototype at this stage, and works only inconsistently. This could perhaps be an issue of intelligibility of the recorded speech, or perhaps a volume issue. It’s hard to argue that a voice control system will ever be as robust as remote controlling a camera over WiFi, but it just goes to show – there’s never just one way to get the job done. We’ve seen people go deeper into GoPro hacking though – check out this comprehensive guide on how to pwn your GoPro.
The Internet of Things is fun to play with; there’s all manner of devices to automate and control remotely. It can be sketchy, though — make a mistake when coding your automatic plant watering system and you could flood your house. Make a mistake with a space heater and you could burn it down. Combine these risks with the fact that many people live in rental properties, and it can be a difficult proposition to bring the Internet of Things to your home.
[Suyash] came up with a way around this by building 3D printed light switch covers that add servo control. It’s a great solution that it doesn’t require the modification of any mains wiring, and interfaces with the standard switches in the normal way. It makes it a lot safer this way — there are municipal wiring codes for a reason. This is a great example of what you can do with a 3D printer, above and beyond printing out Yoda heads and keychains.
The backend of things is handled by the venerable ESP8266, with [Suyash]’s custom IoT library known as conduit doing the heavy lifting. The library is a way to quickly build IoT devices with web interfaces, and [Suyash] claims it’s possible to be blinking an LED from the cloud within 5 minutes using the tool.
For another take on an IoT light switch, check out this Hackaday Prize entry from 2016.
A garage door opener is a pretty classic hack around these parts. IR, Bluetooth, WiFi, smartphone controlled, web interfaces — we’ve seen it all. But if you want to keep track of people going in and out, you need some way of logging what’s happening. You could go ahead and roll up your own SQL based solution, tied into a custom web page. But there’s an easier way; you can build a garage door opener that logs events to Google Drive.
[WhiskeyTangoHotel] was looking for an ESP8266 project, and a garage door opener seemed just the ticket. It’s simple enough to code up, and control over WiFi comes in handy. Interfacing with the garage door was simple enough — the existing opener uses a simple push button, which is easily controlled by wiring up a relay to do the job. Logging is as simple as having the ESP8266 send requests to IFTTT which is set up to make posts to a Google Sheet with status updates.
The project is fairly basic, but there’s room for expansion. By using separate Maker Channel triggers on IFTTT, different users of the garage door could be tracked. It would also be easy to add some limit switches or other sensors to detect the door’s position, so it can be determined whether the door was opened or closed.
There’s always another take on the garage door opener — check out this hack that opens the garage door in response to flashing headlights.
Industrial hardware needs to be reliable, tough, and interoperable. For this reason, there are a series of standards used for command & control connections between equipment. One of the more widespread standards is ModBus, an open protocol using a master-slave architecture, usually delivered over RS-485 serial. It’s readily found being used with PLCs, HMIs, VFDs, and all manner of other industrial equipment that comes with a TLA (three letter acronym).
[Absolutelyautomation] decided to leverage ModBus to control garden variety digital cameras, of the type found cluttering up drawers now that smartphones have come so far. This involves getting old-school, by simply soldering wires to the buttons of the camera, and using an Arduino Nano to control the camera while talking to the ModBus network.
This system could prove handy for integrating a camera into an industrial production process to monitor for faults or defective parts. The article demonstrates simple control of the camera with off-the-shelf commercial PLC hardware. Generally, industrial cameras are very expensive, so this hack may be useful where there isn’t the budget for a proper solution. Will it stand up to industrial conditions for 10 years without missing a beat? No, but it could definitely save the day in the short term for a throwaway price. One shortfall is that the camera as installed will only save pictures to its local memory card. There’s a lot to be said for serving the images right to the engineer’s desk over a network.
We’ve seen [Absolutelyautomation]’s work before – check out this implementation of Pong on an industrial controller.
In the future, nobody will have to cook for themselves: the robots will take care of it all for us. And fast! At least if folks like [Avidan Ross] have their way. He gave a talk on his 45-second pizza robot, and other DIY food automations, at the 2016 Hackaday SuperConference, and you’re invited to pretend that you were there by watching this video.
Why would you want to build machines to build food? It’s a serious challenge, and there’s always going to be room to improve and new frontiers to cross. There’s immediate feedback: [Avidan] gets to taste and tweak in a quick feedback cycle. And finally, everybody eats, so it’s not hard to find “test subjects” for his work.
Continue reading “Insanely Hot Oven Makes Pizza in 45 Seconds: Avidan Ross on Food Hacking”
You’ll have to dig out your French dictionary (or Google translate) for this one, but it is worth it. [Nicolas Giraud] has been experimenting with ways to use a webcam to detect the number of eggs chickens have laid in a chicken coop. This page documents these experiments using a number of different algorithms to automatically detect the number of eggs and notify the owner. The system is simple, built around a Pi running Debian Jesse Lite and a cheap USB webcam. An LED running off one of the GPIO pins illuminates the eggs, and the camera then captures the image for analysis.
Continue reading “Counting Eggs With A Webcam”