 So we're here with Aroma Bit. So who are you? We are Aroma Bit. We're an outdoor imaging sensor company. So you can visualize the invisible aroma imaging technology. How does it work? This is actually the sensor we have here. It's based on QCM or crystal oscillation module. Quartz crystal modulator based technology. This is an SD card. Yes, this is our sensor prototype in SD. Whoa, it can be so small. Yes, and of course you can see this is a 7-unit prototype. You can actually increase very rapidly with so many spaces for the miniaturization. So what does that mean? Are you actually measuring something? Yes, so it can be one of the key distinctions we have here. It's that we're outdoor group. But please focus on the 7-unit we have here. There? Yes, like your nose. It tells you different smell. You can distinguish different smell. So for instance, if you put... It's now smelling air. The area? Maybe you can smell it near? Yes. Maybe? Yes. Okay. Okay, and you put... This is an outdoor sample. And you can see... Ah, you're just opening the cap. You're not even pouring. Exactly. It's sniffing. Whoa. It means it changes all simultaneously almost your time. And it can tell you on. This is ethanol? Yes. What can it detect? How much you can smell? Theoretically, anything. So how can you add every new component to it? Okay, so the more actually type of elements better, and it becomes smarter. So currently we have 7 types right now, but it looks at the way chemically... How chemically interacts at each. Just like your nose. Nice. We are actually mimicking what the nose is doing. Mimicking what the nose is doing. Is this special nobody else can do? For now, the concept is there, but I think we are pretty far from the foundation. You are the most far about this? So far. Are you from university or where are you from? We are from nowhere. From nowhere? We are from Tokyo, that's all. So the idea, what is the idea in the future? Where does this go? For instance, you see this? Imagine yourself in Starbucks. It's three types of coffee. That's what you see in the sensor output. One, the first one is a coffee dot today, the second is a coffee latte, and the coffee latte with the honey. Imagine, they have done this order, pattern on your Amazon.com homepage. Yeah, for a product that smells. It has nose already, your favorite smell of the coffee through aroma, like it type of button, in a Facebook for instance, maybe 10 years from now. You check on that, and have your smartphone detect whether that's your type of smell you like. So you just put your smartphone near the coffee and you say, ah, it's good. It's green lights. And also, you try and put this embed on here on the smartphone as soon as possible, although it may take a few years from now. What it can do is, it's already known that the odor, the body odor and the breath odor can detect cancer for instance. So it can be used for medical devices, for instance, and take any smell log of yours, personal smell of data. Could you put your smartphone on the armpit and then it will be green light if you can go outside? Exactly. Or red light if you have to take one more show. It may tell you whether that girl over there, may be your perfect match. All right. Because is there some science behind good smell? Like a good smell need to have some, all these in the right position? We the first one to know, if there's such things. You will be the first one to know? Because there's no such sensor that can detect, distinguish the smell. Whether you label that like it or not, that's very personal, interpersonal sort of, nice, subjective. Now is there any way to reproduce the smells, and you know the other way around? Can you actually generate smells? There is a lab that actually trying to do it right now, in some of the universities here in Japan and a few other areas. Because if you do a video chat with somebody, you want to smell them, no? Yes. It could happen maybe in the future. Is it compatible with your technology? You may in the future. Yes. All right. Cool. And what is that?