Moo Olaniyan from UMD College Park: "So me and my other teammates are trying to work on a system that can let students know whether a classroom, or a room in the library, or some other place, is a good place to study. If you’re looking for a room to study in, you want to see a heads-up of which rooms are available, which rooms are noisy, or which rooms would be good to study in. So what we wanted to do was combine hardware and software. We have a couple of sensors: temperature, vibration, microphone, and photo. Essentially, the information is processed, sending the information from the sensors to the database and pulling it off my own personal server and then running stuff from there. Then we process that information, and based off of certain things, for instance, if the light is on and sound is coming from the microphone, we can assume that people are in this room versus if the light is off, there’s no sound, and no vibration, then the room is probably empty."