If you’re wondering what the difference is between the good ol’ Arduino Uno and one of the new-school Arduinos like the Arduino Due, here’s a very graphic example: [DrNCX] has written a stunning Pacman clone for the Due that seems to play just like the arcade. (Video embedded below the break.)
The comparison between the Uno and Due isn’t quite fair. The Due runs on an 84 MHz, 32 bit ARM Cortex-M3 processor. It’s in a different league from the Uno. Still, we view this as an example of the extended possibilities from stepping up into a significantly faster micro. For instance, the video is output to both an ILI9341 TFT screen and external 8-bit VGA at once.
Besides using some very nice (standard) libraries for the parts, it doesn’t look like [DrNCX] had to resort to any particular trickery — just a lot of gamer-logic coding. All the code is up on GitHub for you to check out.
Can the old Arduinos do this? For comparison, the best Pacman we’ve seen on an AVR platform is the ATmega328-based RetroWiz, although it is clocked twice as fast as a stock Uno. And then there’s Hackaday Editor [Mike Szczys]’s 1-Pixel Pacman, but that’s cheating because it uses a Teensy 3.1, which is another fast ARM chip. People always ask where the boundary between an 8-bit and 32-bit project lies. Is a decent Pacman the litmus test?



Now in all honesty, the Chromecast gets hot but the amount of power it draws when not in use is still pretty negligible compared to the draw of your TV. Every watt counts, and [Ilias] took this as an opportunity to refine his skills and combine a system using an Arduino, Bluetooth, and Android to create a robust power switch solution for the Chromecast.
running a calculus function on an Arduino presents a seemingly impossible scenario. In this article, we’re going to explore the idea of using derivative like techniques with a microcontroller. Let us be reminded that the derivative provides an instantaneous rate of change. Getting an instantaneous rate of change when the function is known is easy. However, when you’re working with a microcontroller and varying analog data without a known function, it’s not so easy. Our goal will be to get an average rate of change of the data. And since a microcontroller is many orders of magnitude faster than the rate of change of the incoming data, we can calculate the average rate of change over very small time intervals. Our work will be based on the fact that the average rate of change and instantaneous rate of change are the same over short time intervals.



