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The Big Brother Floodlights were created in 2013 by Garret Chiem, a recent graduate student of San Jose State. Chiem noticed that there were too many students getting away with cheating, throwing off the exam’s curve, and he decided to do something about it. The floodlights record the classroom during exams and can replay them back in holographic 3-D, allowing teachers to walk around and look at the student from all angles to thoroughly check for cheating. There must be a floodlight in every corner of the room to record in 3-D. In the upcoming 2.0 model, set to release in June of 2017, the floodlights will have a tracking feature that tracks head movement, eye movement, and any other slightly out of the ordinary body movements, taking note of when there is a possible instance of cheating. The facial recognition feature that is also built in detects stress and guilt, then runs the data through the database to possibly catch cheaters before they even cheat. Chiem admits that the idea of catching cheaters before they cheat is from the movie Minority Report and admits that there are ethical problems with implementing this feature, but he assures that his team is working on addressing the problem and making it more user friendly. Currently, the Big Brother Floodlights are still in the trial phase, with only two schools using them, but Chiem hopes to fully implement them in all schools by 2018.