00:00Can you give us an overview about Sora and how does it help in bringing medicines and controlling infectious disease in far-flung areas?
00:12Okay, Sora Technology is a Japanese startup and we have been deploying drone and AI for climate resident public health assistance in developing countries.
00:24So, one of the flagship services so far, which is mainly for Africa, is to map out the high-risk lava habitats of mosquitoes, which is very important for malaria control or generally mosquito control.
00:40So, simply speaking, our drones are first defined widely and then we will collect the geographical data by touching several camera-zone sensors at the bottom of drones.
00:52And those data will be analyzed using our AI and then we will suggest high-risk area.
00:59So, of course, drones have been used in so many instances already and it's been well-publicized.
01:08So, what sets apart Sora from other drone technologies?
01:13So, of course, we have strong capability of drones, so different from conventional drones, which is called Machcopter, that can fly vertically.
01:22We have been developing and operating, fixing drones, which is a kind of very small aircraft and it can fly over 100 kilometers.
01:30And also, we have strong capability also on imaginary analysis AI.
01:35So, not only for detecting where water bodies are, we can analyze some features of water, like a turbidity, temperature, vegetation, by which we can pinpoint the hotspots of mosquito, which is another strong point for our company.
01:53Yeah.
01:54Yeah.
01:55Yeah.
01:56Yeah.
01:57Of course, you said that you were, you mentioned that you were, you came, you went to the Philippines a few months ago in Leyte specifically.
02:03So, of course, you've seen how, you've seen the terrain, you've seen the area.
02:09How does your technology help in areas such as in Leyte in the Philippines, of course, when it comes to health and agriculture?
02:18How would it help in these communities?
02:22Yeah.
02:23So, we are now trying to customize our AI more for, specifically to dengue fever, I mean tiger mosquitoes.
02:33And so, so far we have been focusing on Africa against malaria, but we are trying to customize it against dengue in Asia, specifically Philippines.
02:44And yeah, two months ago, I went to Leyte to do some first trial, which is aiming for digitizing the lava habitats detected by our drone and AI.
02:59And we are going to, so one of the problems in the Philippines, in our understanding, is about unpredictability of dengue fever and the climate change.
03:09So, by digitizing the lava habitats, using drone, and by combining those data with our AI analysis platform, which is aiming for analyzing how those AI,
03:22how those risks can be changed over time under climate change.
03:26We are going to do some, to customize some prediction systems, which can, you know, do some proactive countermeasures for some dengue fever control,
03:38or even under the climate change.
03:39What are the challenges of increasing your life and the climate change these issues?
03:40All right.
03:41Let's stop and stop again.
03:42Let's go.
03:43Let's get started.
03:45Let's get started.
03:47What are the challenges of the policy that look like in order of climate change?
03:48We are going to make things like that.
03:50Let's start a plan.
03:51This we are from the economy, guys.
03:52We are challenging the climate change.
03:55How are the climate change?
03:57What are the climate change?
03:58We are along the climate change, we are facing anything.
03:59The climate change in a climate change?
04:05We are also there.
04:07You
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