Just last week, the CEO of this company announced that this system will be installed, for the first time ever, in an American high school and an American university. The names of the institutions have not been made public for obvious reasons, but in these pilot programs for this disruptive new technology, the exposure to real-world environments will serve to further hone and refine the algorithms. Why not just start installing them everywhere, you might ask? The reason is simple: Given the sensitive nature of this technology and the panic a false alarm may bring (just imagine a SWAT team rushing to the scene), it is of utmost importance that the algorithms are as refined as possible before a mass rollout can be effected. And there's nothing besides natural environment exposure that can do that. Think of machine learning as no different than human learning. You need constant stimulus from a variety of seemingly chaotic environmental factors for true artificial intelligence to be achieved.