Now here’s a really cool home hack. [Luis Rodrigues] has automated his garage door to open, simply by flashing his headlights at it.
But wait, doesn’t that mean anyone could break into his house? Nope. At first we thought he had just added some photo-sensors and a bit of computer logic in order to turn a pattern of lights into an output to open the garage, but no, it’s actually specific to his car only. Which is awesome because if anyone ever tried to copy him to break in, all they break into is a very confused state of mind.
You see how it actually works is the headlight output is connected to a control box under the hood of his car. A Moteino (RF Arduino variant) reads the input signal of the headlights flashing three times, and then communicates wirelessly to the garage door in order to open it.
But [Luis] also has a gate outside his property — so if you hold the lights on for a second, both the garage door and the external gate will open as well.
Continue reading “Blink Thrice To Let Me In”
If you’re looking for a simple way to make an RF transmitter, check out [Tomasz]’s Morse code transmitter. His design uses nothing more than a microcontroller and a 16MHz crystal to transmit CW Morse code on 96MHz. We’ve seen some similar designs that work at lower frequencies, but transmitting up at 96MHz is pretty impressive.
[Tomasz] used an STM32L microcontroller for this project, which isn’t specced to run up at the high frequencies he wanted to transmit at. To get around this, [Tomasz] wired a 16Mhz oscillator up to microcontroller’s clock input. The clock input is run into the micro’s PLL which is capable of generating high frequencies. He mentions that you can use the internal oscillator instead of a crystal, but it has a ton of phase noise and splatters all over the spectrum.
[Tomasz] chose to start transmitting at 96MHz, which can be picked up by a standard FM radio. To generate this frequency, he set the PLL to multiply the 16MHz crystal up to 192MHz followed by a clock divide of 2 which brings it down to 96MHz. The microcontroller’s CPU runs on the 16MHz crystal input before it goes into the PLL. Next [Tomasz] enabled the MCO clock output pin which routes the 96MHz signal to the outside world.
Transmitting CW is pretty simple; it just involves turning a fixed-frequency transmitter on and off. [Tomasz] wrote a function that enables and disables the MCO output pin. This has the effect of keying any Morse code string you throw at it. Check out the video after the break to see the transmitter in action.
Continue reading “Morse Code RF Transmitter from a Micro’s Clock Output”
Morse code used to be widely used around the globe. Before voice transmissions were possible over radio, Morse code was all the rage. Nowadays, it’s been replaced with more sophisticated technologies that allow us to transmit voice, or data much faster and more efficiently. You don’t even need to know Morse code to get an amateur radio license any more. That doesn’t mean that Morse code is dead, though. There are still plenty of hobbyists out there practicing for the fun of it.
[Dan] decided to take a shortcut and use some modern technology to make it easier to translate Morse code back into readable text. His project log is a good example of the natural progression we all make when we are learning something new. He started out with an Arduino and a simple microphone. He wrote a basic sketch to read the input from the microphone and output the perceived volume over a Serial monitor as a series of asterisks. The more asterisks, the louder the signal. He calibrated the system so that a quiet room would read zero.
He found that while this worked, the Arduino was so fast that it detected very short pulses that the human ear could not detect. This would throw off his readings and needed to be smoothed out. If you are familiar with button debouncing then you get the idea. He ended up just averaging a few samples at a time, which worked out nicely.
The next iteration of the software added the ability to detect each legitimate beep from the Morse code signal. He cleared away anything too short. The result was a series of long and short chains of asterisks, representing long or short beeps. The third iteration translated these chains into dots and dashes. This version could also detect longer pauses between words to make things more readable.
Finally, [Dan] added a sort of lookup table to translate the dots and dashes back into ASCII characters. Now he can rest easy while the Arduino does all of the hard work. If you’re wondering why anyone would want to learn Morse code these days, it’s still a very simple way for humans to communicate long distances without the aid of a computer.
There’s a lot to learn from this 1966 Army training film about the International Morse Code, but the most crucial component of good keying is rhythm. A young man named [Owens] demonstrates very clean keying, and the instructor points out that skill is the product of sending uniform and short dits, uniform and short dahs, and correct spacing between dits, dahs, letters, and words.
Throughout the film, there are title cards in a typeface that shows the stroke order of military printing. The instructor points this out after a brief interlude about the phonetic alphabet (Alpha, Bravo, Charlie, &c). Right away, we see that the Morse Code for ‘H’ is four dits that gallop with the rhythm of a horse in a hurry to get to the hotel.
Such clever and memorable pictures are painted for a few other letters. We wish he would have covered them all, but that’s not the aim of this film. The Army is more concerned with good, clean rhythm and proper spacing that marks the difference between ‘low’ planes and ‘enemy’ planes. There’s a simple, three-step plan to getting what is called a ‘good fist’, and the Army demonstrates this in the best possible way: a giant J-38 and fake hand descending from the ceiling to match. Yes, really.
The first step is to adjust the key to ensure good contact alignment, proper gap spacing, and ideal spring tension. The second step is to develop good technique by resting one’s elbow on the table and holding the key rather than slapping it. The third step is simply to practice. Learning through imitation is helpful, as is taping one’s practice sessions and playing them back. [Owens] likes to use an RD-60 code recorder, which immortalizes his signals in ink.
Continue reading “Retrotechtacular: ⋅⋅⋅⋅ ––– ⋅–– – ––– –– ––– ⋅–⋅ ⋅⋅⋅ ⋅ –⋅–⋅ ––– –⋅⋅ ⋅”
[Kevin] recently scored a Morse code keyer/sounder unit from the 1920s on eBay. While many hams would love to use an old keyer for CW, [Kevin] took a different route and repurposed it into a wireless web-connected morse code keyer.
[Kevin] mounted an Arduino Yun under the keyer, which listens for user input and provides web connectivity. The Yun connects to [Kevin]’s open-source web API he calls “morsel,” which allows it to send and receive messages with other morsel users. When a message is keyed in, the Yun publishes it to the API. When another keyer queries the API for incoming messages, the Yun downloads the morse sequence and replays it on the sounder.
[Kevin] also added some copper electrodes to the top of his enclosure, which act as capacitive buttons while keeping the keyer’s old-school appearance. The left button replays the most recently received message, and the right button sets the playback speed. Check out the video after the break to hear and see the keyer in action.
Thanks for the tip, [Jarrod].
Continue reading “A Wireless Web-Connected Morse Code Keyer”
Often the Morse Code centered projects that we feature are to help you practice transmitting messages. This one takes a tack and builds an automatic decoder. We think [Nicola Cimmino’s] project is well worth featuring simply based on his explanation of the Digital Signal Processing used on the signal coming in from the microphone. Well done. But he’s really just getting warmed up.
What makes this really stand out is a brilliant algorithm that allows conversion from Morse to ASCII using a lookup table of only 64 bytes. This provides enough room for A-Z and 0-9 without chance of collision but could be expanded to allow for more characters. Below is a concise description of how the algorithm works but make sure you take the time to read [Nicola’s] project description in its entirety.
The algorithm can be decribed as follows. Have an index inside the lookup string inizialied to zero. Have an initial dash jump size of 64. At every received element (dot or dash) halve the initial dash jump and then increase by 1 the index inside the lookup string if a dot was received and by dash jump size if a dash was received. Repeat until a letter separator is reached, at that point the index inside the lookup string will point to the ASCII corresponding to the decoded morse.
Have you heard of this technique before? If so, tell us about it in the comments below. Before you jump all over this one, realize that Magic Morse uses a different technique.
[Konstantinos] wrote in to tell us about his CDW project: a digital encoding scheme for ham radio that uses CW (continuous wave) Morse code for digital data transfer. CW operation with Morse code is great for narrow-bandwidth low-speed communication over long distances. To take advantage of this, [Konstantinos] developed a program that takes binary or text files, compresses them, and translates them to a series of letters and numbers that can be represented with Morse code.
The software translates the characters into sequences of Morse code pulses, and plays an audio stream of the result. His software doesn’t support decoding Morse from an audio stream, so [Konstantinos] recommends using one of many existing programs to get the job done. Alternatively those with a good ear and working knowledge of Morse can transcribe the characters by hand.
After receiving a broadcast, the user pastes received characters back in the software. The software re-assembles the binary file from the Morse characters and decompresses the result. [Konstantinos] also added a simple XOR encryption feature, but keep in mind that using encryption on ham radio bands is technically illegal.