That way, we can do anything with resulting data, knowing that when the door is locked, the room is in use. The piece of the project that lets this all work is a microswitch installed inside each door jamb, such that when the locking bolt is engaged, the switch is tripped. Working with Joe Taylor and Eric Littlejohn, our Hackathon project set out to make the office bathroom availability more visible and accessible through a combination of hardware and software. Specifically, the bathrooms are occupied more frequently, resulting in either a return trip to your desk only to try again later, or an awkward wait of unknown duration.
Unfortunately, though, that means that the building we’re in is less and less able to handle the increasing capacity. One of the other benefits of working in a growing industry is that we’re expanding our staff almost weekly. To that end, we recently hosted our first Hackathon, where small teams of co-workers had 24 straight hours to create a project of any theme using resources available inside our outside of the office, and the results would be judged by our peers. Working at Blackboard Mobile making unique mobile apps is fun, but occasionally it’s interesting to do something completely different at work, just to see what you can come up with. Related reading: Hyper Text Coffee Pot Control Protocol GottaGo
#Install xquartz but x11 still false code
This “brewbot” code is available on GitHub, and a parts list can be found below. Once a time threshold has passed, it does an HTTP POST to a Slack webhook, sleeps for about 15 minutes, then starts monitoring again. Using a non-invasive/inductive current sensor and Raspberry Pi, the following setup monitors coffee machine energy consumption and waits for a significant rise in current draw, followed by several minutes of sustained usage. We also use Slack for team chat and various notifications, so integrating the coffee machine status was a no-brainer. You might arrive when it’s empty and be tasked with making more, but the ideal situation is to arrive just as a fresh pot is being brewed. At work, we have a coffee machine that serves dozens of people in the building, and it’s difficult to know when to come get fresh coffee.
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