Awesome

Clocks

These are various Arduino-compatible clock devices that I have built using my AceTime library (https://github.com/bxparks/AceTime).

Generic Clocks

These clock apps support multiple microcontrollers and multiple LED modules. They are often used for developing and validating the various sub libraries (e.g. AceTime, AceTimeClock, AceSegment, AceSegmentWriter).

• CommandLineClock
  • A clock that can be accessed through the serial port.
  • Useful for quick debugging.
• OneZoneClock
  • A clock with a single display showing a single timezone selected from a menu of timezones.
  • Supports the following displays:
    • SSD1306 OLED
    • PCD8544 LCD (Nokia 5110).
  • Useful for debugging various software libraries (AceButton, AceTime) and various hardware configurations (OLED display, LCD display, buttons, DS3231, etc).
• MultiZoneClock
  • A clock with a single display that can show multiple timezones from a menu of timezones. The "WorldClockLcd" example is configured to show 4 concurrent timezones.
  • Supports the following displays:
    • PCD8544 LCD (Nokia 5110)
    • SSD1306 OLED
• LedClock
  • Similar to OneZoneClock, but using an 4-digit-7-segment LED display.
  • Hardware:
    • various 7-segment LED modules
    • various microcontrollers
    • DS3231
    • 2 buttons

Specialized Clocks

These are specialized devices with firmware designed explicitly for that device:

• WorldClock
  • A clock that shows 3 concurrent timezones using 3 OLED displays.
  • 1 x SparkFun Pro Micro 3.3V, 8 MHz
  • 3 x SSD1306 SPI OLED displays
  • 1 x DS3231
• MedMinder
  • A battery powered medication reminder device.
  • 1 x SparkFun Pro Micro 3.3V, 8 MHz
  • 1 x SSD1306 SPI OLED displays
  • 1 x DS3231
  • 3 x AAA NiMH batteries
• ChristmasClock
  • A clock that shows the number of days until the next Christmas.
  • 1 x D1 Mini
  • 1 x TM1637-4 LED module
  • 1 x DS3231

Continuous Integration

All of these will compile under Linux and probably MacOS using EpoxyDuino (https://github.com/bxparks/EpoxyDuino). So I was able to add them to the Continuous Integration pipeline under GitHub Actions.

The pipeline can be run manually by using the following commands from the top-level directory:

$ make clean
$ make all