Many times when someone tells you that language X is “better” at something they really mean that it has better built-in libraries for that task. Java is a great example. The language isn’t all that different from C++ outside of garbage collection and multiple inheritance, but the standard libraries are super powerful, especially for networking. Even C relies on a library to provide a lot of functions people think of as part of the language — printf, for example. That’s not really part of the C language, but just part of the standard library. When you are writing for a tiny processor, the choice of library is critical and [Keith Packard] offers you one choice: picolibc.
The library has its genesis from two other diminutive libraries: Newlib and the AVR version of libc. It provides support for ARC, ARM, i386, m68k, MIPS, MSP430, Nios II, PPC, RISC-V, Sparc64, x86_64, and the ESP8266/ESP32.
We suspect that most of us who use an alarm clock have our particular sound memorized. Common choices are annoying beeping, energetic marimbas, or what used to be your favorite song (which you have now come to despise). [Adam Kumpf] wanted a more pleasant alarm clock and came up with WakeSlow, an alarm clock audio stream, which is a spiritual successor to an earlier project he did called Warmly.
Some might say, “an audio stream? You could create an acceptable alarm tone generator with a 555 and a 2N2222”. The idea behind WakeSlow is to use your existing internet-connected alarm clock that can play an audio stream. You generate a URL using WakeSlow, and it plays the alarm. A custom URL is helpful since it incorporates weather data, letting you know if it’s going to rain, blowing wind, or be sunny that day. It mixes CC0 audio to form the stream, and includes a 5-minute fade to wake you up gradually. After five minutes, it’s jazz time, and it plays a sample of some CC0 jazz.
The code is super simple, and he makes it available on his website under a public domain/CC0 license. The simplicity offers something powerful, making it exactly how you like it. You could incorporate holiday information, a text-to-speech news announcer reading the news of what’s on your calendar that day, or anything you can dream of.
Hackers are generally particular about clocks, and alarm clocks fall under the same umbrella. WakeSlow allows you to skip the hardware part of making your customized alarm, but if you prefer to have the whole thing be custom, we have a few suggestions for alarms to look at.
Here at Hackaday, we love to see projects re-visited and updated after we’ve covered them on the site. It’s always exciting to see what the creators come up with next, and this Pi-Based Spectrometer project is a great example of that.
[LesWright] found himself with a problem when the new version of Raspberry Pi operating system was released (Bullseye), and it broke some functionality on his original software. Rather than just fix the issues, [Les] chose to rewrite the software more dramatically and has ended up with a much more capable spectrometer that is able to match professional devices costing many times more.
Screenshot of Waterfall Display for PySpectrometer 2
By using multi-wavelength calibration and polynomial regression data, the new version is much more accurate and can now resolve wavelengths down to +/- 1nm.
The whole project is now written in OpenCV, and there’s a nifty new waterfall spectrum display, that will show changes in measured spectra over time.
A low-cost benchtop spectroscope is coupled to a RaspberryPi Camera via a CCTV zoom lens and the whole setup is mounted to a small block of aluminium for thermal and mechanical stability. The spectroscope is pointed at a fluorescent lamp and the user is guided through a calibration routine to tune the software to the hardware.
We’re impressed with the precision [Les] has achieved with his builds, and the write-up is sufficiently detailed to allow others to follow in his footsteps. We’d love to see if readers build one themselves, and what they use them for!
The Serial Peripheral Interface (SPI) interface was initially standardized by Motorola in 1979 for short-distance communication in embedded systems. In its most common four-wire configuration, full-duplex data transfer is possible on the two data (MOSI, MISO) lines with data rates well exceeding 10 Mb/s. This makes SPI suitable for high-bandwidth, full-duplex applications like SD storage cards and large resolution, high-refresh displays.
STM32 devices come with a variable number of SPI peripherals, two in the F042 at 18 Mb/s and five in the F411. Across the STM32 families, the SPI peripheral is relatively similar, with fairly minor differences in the register layout. In this article we’ll look at configuring an SPI peripheral in master mode.
Arduino have released the latest version of their Integrated Development Environment (IDE), Version 2.0 and it is a big step up from the previous release, boasting plenty of new features to help you to develop your code more easily.
As the de-facto way for beginners to get into programming hardware, more experienced users have sometimes complained about what they see as the over-simplistic IDE — even lacking relatively basic features such as autocomplete. The new version provides this, and much more besides. Continue reading “Arduino IDE 2.0 Is Here”→
You can write a Python program or use a Jupyter Notebook to do almost anything. But you can also get a lot of things done quickly using a spreadsheet. Grist is a “hacker’s” spreadsheet that merges these worlds. It looks like a spreadsheet, but underneath are SQLite tables and the formula language is Python.
The code is open source and if you want it hosted, there are free and paid plans. You can even try it out without even logging in and either start with a blank screen or use a template. You can see an introductory video below.
Should you wish to try high-quality voice recognition without buying something, good luck. Sure, you can borrow the speech recognition on your phone or coerce some virtual assistants on a Raspberry Pi to handle the processing for you, but those aren’t good for major work that you don’t want to be tied to some closed-source solution. OpenAI has introduced Whisper, which they claim is an open source neural net that “approaches human level robustness and accuracy on English speech recognition.” It appears to work on at least some other languages, too.
If you try the demonstrations, you’ll see that talking fast or with a lovely accent doesn’t seem to affect the results. The post mentions it was trained on 680,000 hours of supervised data. If you were to talk that much to an AI, it would take you 77 years without sleep!
