Hola, buenas tardes a todos. Hello, everyone. Welcome to our presentation. Allow me to introduce my colleague, Sara Rodriguez, and myself, Santiago Moreno. We are working at Minside as a scientist. And during the last years, we have had the opportunity to work in many, many fields related with the scientist. Now, we are bringing to you, we want to share with you a project we have been working in this case related to a particular field that is the satellite images and the discovery of water using satellite images. So I was saying before, we are working at Minside. Minside is a new company that helps our clients to go with them during the digital transformation process. And as I'm sure most of you know, Indra is one of the biggest consulting groups in Spain. So we have a lot of people, many colleagues that are very expertise on their fields and have a lot of knowledge in many, many different fields, like, for example, energy, industry, security, health care, and particularly, for example, here in Earth observation. Now, thanks to that, this is one of the reasons, because we have had this opportunity in the last years of working in very, very different fields. Almost any field you can imagine that our world as a scientist have applications. So inside Minside, we belong to the unit of data scientists and artificial intelligence. This is a result of combining three different competencies. You have here depicted in the slide, artificial intelligence, data engineer and visualizations, and data science, where Sarah and I belong. And we're trying to join all of them in order to help our clients and give to them the best answer as possible. As you can see here, our unit is composed from very, very different profiles. In fact, you can think that we are a very heterogeneous group of people, because we are. We really are. We are people who are coming from engineers. We have engineers, marketing people, statisticians, linguists. But we all share some things in common, many things in common, particularly that we really want to always try to get all the information as possible as the data is trying to give to us and trying to go beyond just the evidence. So after this brief introduction of ourselves, our company, and our unit, let's focus in the project we want to share with you. This project is the Land Analytic Earth Observation Platform. You can see here it's a project for the European Space Agency. We have been working in this project during 2017, so the last year. The project is, the platform is finished. In fact, in the last month of July, July 2018, we have the final report with people from the European Space Agency. And they acknowledge that, effectively, all the requirements that we have to reach were met. So we are going to go deeper in this, but I want you to have just at the beginning what all of this is about. The idea is just to take the information coming from the satellites as raw data. We are going to process it. And at the end, we are going to provide our results that implies that we have discovered what are at the pixel level, or we are going to classify pixels with water and non-water. And we are going to even a step ago, we are going to try to group all these pixels and study water bodies under evolution and time. The first thing we are going to show you is the tools we have used, what we have worked with in this project. Here, we have an image of the architecture of our IoT and big data platform called Sofia2. In this platform, we have developed all the analytical part of our project. Here, you can see there are the different models that all together make the platform. You can see how I like it. The models we have used during this project, particularly the data flow that we have used it to capture, to ingest in our staging area and a Hadoop cluster, all the information that was provided by the satellites. We'll see later. We have, before this, we are going to go deeper in this and another subsystem, the processing subsystem. We'll explain it later. And finally, all the information we have treated using the Sofia2 notebooks. We have used Pache Zeppelin working with Spark. Most of the coding was written in Scala and some part of it also in Python by Spark. Sofia2 is a platform that is born in the context of the internet of things, and it has been evolving since then. In fact, in the last month, it has been rebranding of Sofia2. Now, a new platform called OneSite is the evolution of Sofia2. And why is that? Well, the reason is because Experian has shown us that, well, it's pretty obvious, but anyway, it's important that Experian has shown us that we live in a world of constant change. So you have to adapt to it as fast as possible. So the idea you have to keep in mind is to be agile and to be flexible. And how do you work in a world like this? OK, you have to go to collaborative models. Try to shift towards service models based on mostly cloud strategies. And you are going to have to deal with a high penetration of open source models. So as you can see, this is a very complex world with very complex scenarios.  And of course, new requirements of server security are going to taking into account. So this is the philosophy that one side applies in order to answer to all the necessities and problematics we have seen in the previous slide. So our philosophy is based in these three steps. The first of all, think big, start small strategy, tries to give us the possibility to be agile and to be flexible. The platform is totally composed of open source technology. All the tools that are composed are open source. In fact, in a few months, I don't have the number exactly, but in a few months, the platform itself is going to be open source. And finally, we combine it with our vast experience because in MinSight is a reference in the service security world. And we don't have to forget that the one MinSight platform is an evolution of Sofia 2 that has been in top of the game of the big data world since the beginning. After talking about the tools, let's go to put into context our project. So our platform, Land Analytics Earth Observation Platform, we have developed it in collaboration with our colleagues from in the space. And it's for the client was the European Space Agency. And this is all contextualized inside what it is called the Copernicus Project. The Copernicus Project is probably, or I didn't say even probably, it is, in fact, the most ambitious Earth Observation Program to date. It basically provides a timely, accurate, and easily accessible information to improve the management with many objectives to improve the management of the environment to provide civil security and to reduce the effects of the climate change. So where does Copernicus come from? It's the evolution of the, you have written there, G-M-E-S. That means the global monitoring environment and social security system. The project is headed by the European Commission in a partnership with the European Space Agency. The European Commission is acting on behalf of the European Union is responsible for the overall environment, also for the setting the requirements and the management of the different services. Whereas the European Space Agency is responsible not only for the development of the data and the providing the data, but also for the different missions of satellites that are related with this project. So at the end, Copernicus is a unified system through which a lot of the data is going to be fed and into a range of thematic information services that are designed for the benefit of the environment and for our, even our lives. And we could res summary just in a phrase saying that to help us in a more sustainable future. And all of these services are grouped in six main categories that you have here in the slide. The oceans, earth, atmosphere, emergency, security and climate change. Our project is one of the case that is focused in the Earth observation. In this project, the European Space Agency is using and exploding more than 30 years of expertise they have in the space missions. And how is Copernicus possible? Well, the European Space Agency has developed or designed a particularly family of satellites for the purpose of the Sentinel, of the Copernicus program that are the Sentinel's mission. All these Sentinel missions share some things in common. For example, all of them are composed by our families or constellations of two different satellites to fulfill Rebyset and recover and get really robust data sets for the purposes of the Copernicus project. But every Sentinel mission has a different kind of technology. Here we are only showing Sentinel-1 and Sentinel-2 because these have been the main sources we have used in our project, OK? But there are a total of six Sentinel missions. Here you can see that Sentinel-1, for example, is the United Raider imaging technology base, whereas Sentinel-2 is a high-resolution multi-spectral imaging mission, OK? So Sentinel-1 is more focused, perhaps, in weather and land, whereas Sentinel-2 more, and land cover, water cover, and so on, OK? Some of the other Sentinel missions are focused in atmosphere, pollution, others in the ocean surface, the scholar and the surface temperature. So as you can imagine, all of this is going to provide a huge amount of data that you not only need to generate it and store it. You also have to process it and try to get information that has to be useful for the industry, for a new way for people. So within this context is where the Land Analytics Earth Observation Platform is born, because it is able to answer to all of these requirements since the image is taken from the satellite till a final product, OK, is offered. Here we have to take here some images from the European Space Agency, because perhaps if one of you want to go deeper in the Sentinel missions or Copernicus project, you can see here that our platform is also related in this web page. OK, so what is our platform about? I have already said that I'm going to go a little deeper, OK? So the idea is we're going to capture the information from the satellite. We're going to process it. And as a result, we're going to have a pixel-level classification with a presence of water, not water. We are going to go a step farther. As I have mentioned before, we are going to try to aggregate all these pixels in a water body. And even more, we are trying to just not get these water bodies, but try also to learn their behavior. And how are going to try to learn this behavior? We have defined two different approaches. The first one is based only on the information coming from the images themselves, OK? So the idea is if I am able, and we have been able, of course, to identify mass of water, we are going to have this, well, my colleagues in the second part of the presentation is going to display you how. We can have all the different steps of time of this water area. I'm going to know its area evolution, OK? With this, perhaps I can, I don't know, but perhaps we can train a model based on a time series model, or even a deep learning model with recurrent neural networks. So this is one of the approaches to learn the behavior. And the other one is try to enrich our data set, crossing it with external information. Coming, for example, from the geological information, visitation, and topographic information. With this, you can build a data set, and you can use, for example, machine learning libraries from Spark, and try to train a machine learning model based on that. Again, here's a summary of the information we have processed for the platform. We have imaged all of there were square size with almost 11,000 rows and 11,000 columns. Every image has a total of 120 million pixels. All the information was concentrated in the geographical area of Catalonia. We have processed, sorry, 244 images from in a period of time from April and July 2017. If you do the math, you can easily arrive to see that we have processes more than 29,000 million pixels. Here is a very, very concise slide of the architecture of the platform. As I have said before, it is divided in two different parts. The first one is what we call the processing of system. It's in charge of taking information or information coming from the satellite. Sorry. And at the end, at the result, we have a pixel classificated with water on or not water. This information, my colleagues are going to explain later how, is ingested in our analytics of system with Sophia 2. And with the Dataflow model, I have some new before. And there are all the analytics, sorry, takes place. So almost because now I'm going to leave the ground to my colleague, Sarah, who's going to tell you the methodology. Thank you, Santiago. Now I'm going to explain the methodology we employ to extract useful information from satellite images. Just to be sure that all of us know how a satellite works, I'm going to tell you just a few things. A satellite orbits around the Earth, taking different photos over time. These images, these photos, have associated two main parameters called orbit until. If two images have the same values of orbit until, they present information of the same geographic area. So you see? I think that with this information and with information Santiago told you before related to Sentinel, you are an expert on satellite. So we can talk about the workflow of the project right now. The project was divided into two main steps. Here in the presentation, we are going to focus on the second step of the project. Because, well, from our point of view, our super objective point of view is the most interesting part of the project. And while we really work on this, the step of the project. In the first step of the project, the satellite image were transformed into dispersion matrices. Matrices with just one and zero values where one values indicate the presence of water. In the second step of the project, we receive these dispersion matrices and we transform them into tabular data. Over these tabular data, we perform different kind of study with a common goal, is to extract a water body from these images and study their behavior over time. We perform two different kinds of study, two different level of precision, a more general and overall level of study, and a more specific study, a pixel level study. I'm going to explain these two studies in more detail. But before that, I want to remind you these slides and they are going to use a few seconds ago. Please remember, every time I'm going to talk at table, an image, sorry, remember that we are dealing with 120 millions of tables. So just keep in mind this is a big, big figure. What was the first study the European Space Agency asked for? They wanted to know the quantity of water per geographical area and per moment of time. And they also wanted to know the temporal evolution of this quantity, how the quantity of water varies over time. So here, for example, we have eight images related to the same geographical area. As you remember, same orbit and same tile. And while we can see that there was a strong increase of water between April and May. It's important to say that in this first analysis, we didn't distinguish between different sources of water. I mean, we aggregate information from river, from lakes, from seas, ocean, whatever pixel with water we found. No matter how far they were between them, okay? The second kind of study we performed was a pixel level analysis, more specific analysis. The European Space Agency asked for computing the persistence of the pixel. What does it mean? The persistence of the pixel. It's super easy, it's just quantifying how many times a pixel presented water and how many times a pixel didn't present water. So for example, here, you can see that this pixel presents water three over seven times, you see? I think that for now, everything is easy to understand, so let's complicate it a little. In the previous step, we studied its pixel independently. But now, we seek to group the pixel. We seek to cluster the pixel according to their position with respect to other pixel in the images. And just to be sure that all of us understand the methodology we follow, here we have a sample, a small sample. I'm going to put it right here. We have three different images, okay? They're associated to the same geographical area in three different moments of time. If we analyze the four images, we identify three different water bodies, the green one, the blue one, and the pink one, okay? If we analyze the second image, we identify also three water bodies, three independent water bodies. But if we compare both images, we realize that this one, the blue water body on the first moment of time, now in the second moment of time, belong to the green water body. So we can re-level this water body like this. If we analyze the third image, we identify two independent masses of water. And if we compare these two images, as we did before, we realize that this water body, the orange yellow water body, now in the third moment of time, belong to the pink water body. So we can re-level it like this. Cool, but we can go farther. Focus on this pixel, the pixel number one. This pixel doesn't exist in the third moment of time, but it exists in the second moment of time. And when it's exist, it's close to the pixel number two. And this pixel number two exists in the third moment of time. And this pixel number two belong to the pink water body in the third moment of time. So we can be sure that anytime the pixel number one appears, it's going to be close to the pixel number two and it's going to belong to the pink water body. So we can add this pixel number one to the pink water body. If we focus now on this other pixel, we can check that we have exactly the same situation. The pixel number one doesn't appear in the third moment of time, but when it appears, it's close to the pixel number two. So we can add this pixel number one to the final green water body. So that's a general idea of the methodology we follow to level the pixel in the images. And what was the algorithm? Well, just before talking about the algorithm, I want to show you what was the final result of our analysis. Here we have an example of a final table. We have one table like this per each geographic area. This table presents as many rows as pixel with water we have identified over time. And as many columns as a moment of time we have analyzed. And furthermore, it present an extra column with the final consolidated ID level of the pixel of the water body the pixel belong to. Now, what was the algorithm we use to, what was the algorithm we implement, we use to implement this methodology. We employ two different approaches, the best kind clustering and graphs. First, I'm going to talk about the graphs. We built a graph per each image, per each satellite image. We identify each pixel of the image as a vertices of the graphs and the chevich's distance between pixels were the edges of the graphs. Over these graphs, we extract the connected component and each connected component correspond to an independent mass of water. Cool. And what was the second approach? We employed a Devast count clustering algorithm. It's a base density approach. The idea behind is you have a point that belongs to a cluster that means that this point is going to be close to another point of the same cluster in other words. All the points that belong to a cluster are going to be reachable from one another. And this algorithm received two main parameters called epsilon and min points. Epsilon is the minimum distance between two points to be considered numbers. And min points is the minimum number of points to form a dense region. In our case, in our case of study, we identified its cluster as an independent mass of water, obviously. We employed a chevich's measurement and we established one at epsilon distance. Both methodologies, both approaches, the graphs and the Devast count algorithms return exactly the same results. However, the computing time of the Devast count algorithms were lower. So in our final delivery, now we're fine delivery to the European Space Agency, we finally use the Devast count clustering algorithm. And now we have prepared a demo in Sofiados, well, now one site platform. So this demo... This demo had been built using... Whoop, que bien, sorry. Sorry, just a minute. Okay, and this demo has been built on one site and you have used JavaScript library call session, okay? Here we have a water reservoir in the north of Spain, okay? The image you are seeing here is the image that is available in Google Earth, okay? No, it's not any of the images from Sentinel. We have simulated five different moments of time. And we can check one by one every moment of time. Here, for example, you can see that the water reservoir is quite empty. So we have identified four different water bodies. If we check the second image, we identify four independent water bodies. We can check the next one, the third one. Here we have six different water bodies. As you can see, the water bodies have increased their sizes. The fourth moment of time, we have two water bodies. And finally, we have a single water body. We can compare two different moments of time, for example, the third one and the fourth one. And you realize that in the third moment of time, this one, two, three, four, five masses of water in the fourth moment of time, sorry, all of them belong to the same water body, the pink, gray, big water body. Furthermore, you can check for the area of each water body, like this, in square meters. So if we combine all the information for all the moment of time, we realize that we have a single mass of water that have increased their size over time. So let's see, we can see here the temporal evolution. Here we have that we have a single water body that had increased over time. So here you can see the five moments of time running. Okay, so now we're going to conclude the presentation. Santiago is here, he's going to... He's going to conclude the presentation, tell you some achievements and the future application of our work. All right, thank you, Sara. All right, so just to end the presentation, these are the achievements that in the final review were reported to the European Space Agency, and it was, the agency confirmed them. Finally, we have built a full industrial implementation of platform in a cloud environment that is based in a combination. I want you to remember the slide we have presented before with the architecture, with the F observation and processing subsystem connected to the analytical subsystem. And with this, we have finally been able to extract the time series information related to water bodies and identify singular water bodies. And of course, this has future applications. This methodology can be easily exported, just not to the Sentinel-1 and Sentinel-2 missions, but for any Sentinel mission, okay? You can not focus only in the detection of water, but also any forest or vegetation cover or whatever. And also, you can cross this information with external sources, when you can even build a model too easy or to anticipate, for example, fire forest and things like that, okay? So I think that's all. Thank you for your assistance. Thank you very much, everyone, for your assistance. So now in 25th Theatre, we have the key closing note. So thank you. If anyone has any questions, thank you. Thank you. Thank you.


We're in the brand new 2024 Subaru Crosstrak courtesy of Apple Subaru in York PA for more information on their inventory. Please feel free to check out the link in the description box below. So we're in this one today because this is the start of the third generation Crosstrak. You got changes to performance, tech safety. Pricing is all new for 2024, it's got the best all wheel drive system in existence that has been tested, the Subaru Symmetrical all wheel drive system of course. You got excellent resale value as well in typical Subaru fashion. So ultimately in this video we will be testing out and going over everything about this one from acceleration to braking, steering feel, ride quality, sound system, exhaust clip, all that fun stuff. So having said all that, what do you guys say? Let's just go ahead and jump right into it and as always let's start with pricing and size. This is the legendary Futa for trim levels for the 2024 Crosstrak. First one being the base starting at $24,995, premium for $26,145, sport for $28,995, limited for $30,895 and lastly the wilderness being the one we are in today going for $31,995. But as you can imagine with all of this trim levels there are a couple different power plants for the Crosstrak here. First one is going to belong to the base and the premium trim levels. The one is powered by a two liter horizontally opposed four cylinder boxer engine putting out 152 horsepower at 6,000 RPM, 145 pound-feet of torque coming in at 4,000 RPM, power being sent to all four wheels through Subaru's legendary symmetrical all-wheel drive system, and that power being sent to the ground through a linear tronic CVT, 0-60 time coming in at approximately 9 seconds flat there with MPG numbers coming in at 27 in the city, 34 on the highway taking regular on that fuel. And so then there is that other engine configuration of course belonging to the remainder of those trim levels. That one is powered by a 2.5 liter four cylinder boxer engine putting out 182 horsepower at 5,800 RPM, 178 pound-feet of torque coming in at 3,700 RPM, again power sent to all four wheels through a CVT, 0-60 time for this one, approximately 7.5 seconds so pretty substantially quicker there with MPG numbers coming in at 26 in the city, 35 on the highway, but again taking regular on that fuel. And so before we do any kind of fun acceleration test here in the Crosstrak, wanted to mention to you guys the drive modes, it's called SI Drive in typical Subaru fashion. There's an S and there's an I located on the right hand side of the steering wheel. If you were to press that essentially just adjust things like the CVT tuning and the throttle response. But I would also mention though there is an X mode with a deep sand and mud setting so if you happen to go off road or in the sand to Asateek Island in Ocean City, Maryland or something like that, the X mode is definitely going to help you out along with the very best all wheel drive system in existence. But anyways, we do have paddle shifters with our CVT here today so what do you guys say? Let's go ahead and find a couple straightaways. Let's test out the paddle shifters and want to see how quickly they're going to react. Keep in mind this is a CVT so technically we're not shifting through any gears but still kind of cool having them and then we'll find another one. We'll give this a little bit of an acceleration test and we'll see how quickly we can get this one here. Up to speed. Alright so there is a full manual shift mode for our CVT, just slide the shifter all the way to the back and to the left. It's actually going to tell you what simulated gear you are in up on the digital portion of the gauges. I have it in that S driving mode. Let's test out the paddle shifters. Huh. Okay. They're not bad. It kind of simulates an automatic transmission, not really but kind of. You can definitely still tell it's a CVT of course but it kind of lunges you forward. I'll put it that way when you shift through the gears, again simulated gears but they're not bad and the other reason why paddle shifters are actually a good thing for any vehicle really is you can use them to do a little bit of engine braking. So if it's snowing outside or something like that and you're going down a hill and the roads are covered in snow, rather than actually hitting the brakes and wrist sliding off the road you can simply do a little bit of downshifting and let the engine do a little bit of the braking so you're less likely to actually slide off the road. So I did want to mention that as well. By the way paddle shifters come standard on the premium trim level and up in case you were curious but now having got that out of the way, let's go ahead and find one more straightaway. Let's give back full control here to the cross track and let's see how quickly we can get this one here up to speed. All right. From a standstill in three, two, one, up, on a stop. It automatically turned off so that was funny. Okay. Yeah. You're not going to have any issues merging onto the highway. That's fine. It's nothing crazy but it was kind of funny. I came to a complete stop.  So when I actually went to hit the gas, it took a second to start back up. That's how they work of course but yeah so as far as drag racing, if you want to go drag racing at this thing, you might want to turn that feature off. But anyways, to go along with that acceleration as always, braking is equally important so up front you will find 12.4 inch ventilated front discs. In the back, 11.2 inch solid rear disc. As far as the braking feel goes, since there's absolutely nobody behind us here. Whoa. I love it. Dude, that is an excellent braking feel on the cross track. It instantly brings you to a stop. So much on the firmer side of things. I love that braking feel, man. A lot of times, I don't know why. I expected a loosey-goosey, soft braking feel on this thing like an SUV. But I'm telling you guys, that was not the case of the cross track. This thing breaks like a sports sedan, man. I absolutely love it. But anyways, the touching on suspension and handling up front, you're going to get an independent strut type front suspension. In the back, independent double wishbone type rear suspension, front and rear stabilizer bars. And in typical Subaru fashion, you also get 8.7 inches of ground clearance. That's a good bit, of course, for going over snow and rocky terrain and whatever you want to do in X mode in the cross track. But as far as ride quality goes, it's actually been perfectly fine in my short little test drive here today. So I 100% have had no issues whatsoever. As far as steering feel goes, it's actually nice. It's actually weighted a little bit on the heavier side of things, which I like. And apparently for 2024, the cross track now is new WRX, electric power steering. So maybe that's why it feels a little bit heavier than previous generations that I've tested. But I do like the little extra weight that you have in the steering feel now. So that's great as well. Touching on cabin noises, we're going 2 miles per hour here. It's great. It's absolutely wonderful. Honestly, you took it a little bit of the engine noise when you really get on it. But other than that, as far as wind noise goes and road noise, that's perfectly fine. So absolutely no issues there. Touching on visibility, I could see perfectly fine out the back. The secondary headrests are kind of big. But other than that, yeah, this is a smaller vehicle. You really shouldn't have any issues there. But that pretty much rounds out the performance segment of this review, you guys. Let's now go ahead and take a look at the exterior of our brand new 2024 Subaru cross track. All right, so here she is, you guys. The new 2024 Subaru cross track finished in crystal black silica. Telling you this thing looks really, really good in black. No doubt. But again, completely redesigned for 2024. As always, let's go ahead and start with where this one is made. Taking a look at the van, first character is the number four indicating that the new Subaru cross track is built and assembled here in the US. I believe the window sticker said Indiana. But let's go ahead and start up front on this one. LED steering responsive headlights coming standard on the cross track. I got to love that. A lot of times that's an added option on luxury automakers like BMW and Mercedes I know, for example, they go for like $1,000. But so what that is, is when you're going around a bed tonight, those headlights are going to swivel based on the direction of your steering angle, better help illuminating what is around that bed, so you're less likely to hit a deer or a possum or an alien or whatever the case. So that is definitely a safety feature in itself. I love that LED daytime running lights do come standard. You get the automatic feature, of course, as well, automatic high beams, though, as well coming standard. So if you have your high beams on at night and it senses a vehicle coming in the opposite direction, it's going to automatically dim them back to low beams. Then when that vehicle is gone, it's going to automatically then bounce it back up to high beams for you there. So got to love that feature. And then LED fog lights down below. You guys can see those.  I like the design to them too. They're different. But anyways, that pretty much rounds out the front end.  So anyway, so let's not go ahead and make our way to the side. All right. So now since we are around to the side of this one, raised roof rails coming on the premium trim level and up. And again, with the gold accents for the wilderness trim level, rear privacy glass does come standard across the board. Body color door handles for the premium trim level and up. Power adjustable side mirrors coming standard. They're going to be finished though in matte black for that base trim level. A dark gray finish for the premium and limited.  I'll call it for our wilderness trim level that we have today. And of course, you got the Subaru wilderness badging found on those front doors as well. You got some gold cross-track lettering for our specific trim level. But you got to love those all terrain tires that are on our wilderness trim level that we have here today. So speaking of when it comes to the wheel setup, 17 inch aluminum alloys coming with the base trim level, 17 inch dark gray machine finished alloys for the premium, 18 inch aluminum alloys for the sport, 18 inch dark gray machine finished alloys for the limited. And of course, you have some amazing gloss black alloys for our wilderness to actually make that matte black. It looks like for our wilderness trim level that we have here today. So again, very nice looking. Let's not go ahead and make our way to the back and some announcements. We are around to the back of this one all the way to the top matte black shark fin antenna just below that rear spoiler with an integrated brake light just below that rear window wiper and fixated into the rear glass. Got to love those C shaped LED tail lights. LEDs, by the way, do come standard for all trim levels across the board. So got some added illumination at night there. Once again, you got that Subaru wilderness badging found in the rear tailgate there. You got some nice gold accents along with the Subaru lettering found in that rear bumper as well. I think that's pretty cool. And then just below it all, you will find a single exhaust outlet tucked away there. So having said that, I do believe you guys know what we have to do next here. As always, here is that exhaust clip. I'd something else since we are around to the back of the cross track. When it comes to opening that rear tailgate, there is a button on the key fob to unlock it. But ultimately, it is a manual tailgate to simply just lift up on the back there and it's going to open up for you. But once opened up, cargo capacity comes in at nineteen point nine cubic feet. If that was done enough space, there is a sixty forty split, meaning the rear seats do fall down, bumping that up to fifty four point seven cubic feet. There is some cargo lighting back there. There's a couple grocery bag hooks. There's actually four tie down anchors. So I like seeing that cargo cover is going to come on the sport limited and wilderness trim levels. So I am able to show that to you guys. There is a rear cargo tray for all trim levels. And then if you were to lift up underneath of that cargo floor, you are going to find a spare tire, which I always prefer. But then making our way up to the rear leg room that comes in at thirty six point five inches for reference, I mean, even six feet tall. This is how much space I have back there. Rear center armrest with cup holders is going to come standard on the premium trim level and up. There is no rear ventilation, unfortunately. And that's kind of hit and miss in this particular class. Anyways, rear USB charging ports, though, are going to come standard on the premium trim level and up. So I do want to mention that. But then make your way up to the front seats, manually adjustable front seats for the base, premium and sport trim levels and then power adjustable front seats for the limited and our wilderness. Cloth seating is going to come on the base, premium and sport leather seating, though, on the limited. I feel like it's kind of like a leatherette combination for our wilderness trim level. And I like the Subaru wilderness kind of etched into the headrest as well. That was pretty cool. He had a front seat, so coming with the sport, limited and wilderness. Overall, as far as seat comfort goes, it has been perfectly fine. I'm on short little test drive here today. So one hundred percent, absolutely no issues with seat comfort. But one of my favorite parts of the thing I noticed the first one I first hopped in this one is the steering wheel. Here's why tilt and telescoping for miles. So if you are a large individual like Shaquille O'Neal or George Meersen or Yalming or Patrick Ewing or all the other basketball players, this steering wheel telescopes out more than I think any other steering wheel I've ever tested. It goes forever. So if you've got long legs and long arms, this is definitely what you want to be looking at for sure. But leather up steering wheel then come in with the sport, limited and wilderness. But now let's go ahead and make our way to the startup. Let me start by showing you guys the key. Got your unlock lock and the button to unlock the rear trunk there. But the unlock button, by the way, is the Subaru logo. And it is all keyless entry with the push button start for the premium trim level and up. So all I'm going to do here is simply put my front of the brake and press that engine start button located just by the driver's right knee. And so what started up tachometers all the way to your left speedometer is on your right. And there is a small digital display front and center to control what is on that digital display. There are some steering wheel mounting controls found on the left side of the steering wheel gives you things like how many miles you have left until you hit empty trip a trip a and the SI drive stuff. Digital speedometer is pretty much the basics, which will certainly get the job done in the cross track. But now let's go ahead and make our way to overall interior quality. If you're looking for a power and moon roof, that is going to be optional on the premium trim level and up. Thankfully, we do have it here today. So I got an extra GoPro angle in this video. So that's always nice. Dual zoom climate control coming standard for all trim levels across the board. I like kind of the texturized finishes that they put in this one. Now, a lot of these texturized finishes, they are plastic. I'll say that. But they're pretty cool, like on the doors here. So I like that it continues on just above the passenger side glove box. But just in front of the shifter, you do have a wireless phone charger I'm looking at right now while I'm charging up my camera battery. So that's pretty cool. Surrounding the shifter, it's finished in a gloss black.  So well done, Subaru for that. And even the shift boot itself is kind of texturized. So getting fancy on me, Subaru. But just behind all that, you got a couple of cup holders, 12 volt power outlet, your heated seat buttons, of course. Lecture mechanical parking brake, don't want to forget to mention that. And a good bit of space within that center armrest. More so than I'm used to seeing. So well done, Subaru there as well. But overall, everything's kind of on the basic side. You do have some soft touch material, and I always like the gold accents that we have in our wilderness trim level, like on the steering wheel. Got some contrast stitching found on the doors as well. So it's not too bad. It would be perfectly fine for me. And I don't want to forget to mention we have homemade controls found in the bottom portion of that rear view mirror for up to three different garage doors. So that's pretty cool. Anyways, now let's go ahead and make our way to the infotainment screen here. Seven inch color touch screen display coming with that base trim level. However, for the premium trim level enough, that is going to give you an 11.6 inch portrait style color touch screen display. Either way, though, you get Bluetooth and audio streaming. You get Android Auto Apple CarPlay. But with the larger screen that we have today, it is going to be wireless Android Auto Apple CarPlay. So you got to love that. And of course, there's a ton of different things you can check out. Besides that, you've got your climate control information up there. There's a little car icon, and that is where you're going to access your X mode if you wanted to do that. And of course, you can check out your radio information up there as well. And so when it comes to the sound systems, there are a few of them. Four speakers is going to come standard on that base trim level. Six speakers then for the premium trim level end up. And then there is a 10 speaker Harman Kardon sound system that is going to be optional for the limited in wilderness. And yes, we got that option. It is an option and we do have it and I'm excited for it. So having said that was great to turn on the radio. Let's see what we got playing today and let's test out our Harman Kardon sound system that we have with us here today. That was pretty darn good. Not as good as the Harman Kardon in that BMW I just tested. But that was pretty darn good. Ton of bass in that sound system. Pretty darn good clarity as well. So absolutely nothing wrong with that. But anyways, last thing I want to mention to you guys on the infotainment screen at least is when you do put this thing in reverse, you will find a rear view camera coming standard across the board, letting you know who or what is behind you, which is always going to lead us into safety. And so front side, side curtain airbags do come standard. Driver's knee airbag up front as well, along with the passenger seat cushion airbag. That last one usually doesn't come standard in most other vehicles out there in the back. You're going to have latch a.k.a lower anchors and tethers for children, rear child door locks, tire pressure monitoring system, but also coming standard. Of course, a Subaru i-Site that gives you adaptive cruise control, pre-collision braking, lane departure and sway warning, lane keep assist and automatic emergency steering as well. So don't want to mention, though, to add to all of that, if you were to go with that limited trim level, that is going to add to that blind spot monitoring system with rear cross traffic alert and reverse automatic braking then as well. So overall, when it comes to my final thoughts here of the Subaru Cross Track, this does have the best all wheel drive system in existence that has been tested by so many different people in terms of snow, I know, especially. And all of that makes sense because originally Subaru made Subaru's for rally racing in the snow and the dirt. So it makes sense that it does absolutely amazing in those kind of conditions. And that is one of the reasons why I absolutely love Subaru as a brand in general, but very fuel efficient for an all wheel drive system. I'll say that as well. The braking is absolutely amazing. Such a firm braking field immediately brings you to a stop. Excellent resale value with this one as well in terms of room for improvement. Honestly, we got the upper trim level. So there isn't much I can say, but there are two things I can say. One of them being, I would love to see some customization with the gauges, AKA a digital gauge cluster. I know Subaru can do it. Every other manufacturer out there right now is doing it, even for their bottom trim levels nowadays. So the cool thing about digital gauges is you can adjust them. You could change the colors. You could change the loadouts. And that would be something I would look for the cross track in the future. And I think another cool thing would be some, some basic multicolor ambient lighting. It doesn't have to be 64 colors. It could be like eight or 10 or something like that. But I would have loved to have been able to adjust that to put some gold ambient lighting to match all of our gold interior accents and our wilderness trim level that we have here today. So I'm being nitpicky. I know, because otherwise this thing is pretty darn cold. Anyways, let me know what you guys think of the new cross track in the comment section below. That is about it for this one. You guys, thank you so much for watching. Feel free to follow me on social media at the bottom of the screen if you want to see what's coming next on the channel before it gets to YouTube. Be sure to hit the subscribe and the bell notification button if you're into new car reviews because that is what we do here on this channel after all. Do appreciate you guys watching more than you know when I will see you guys all in the next video. Stay gold.


Hi, I'm Dr. Brani Kaur, Technology Analyst at ID TechX and I'm here with Samuel Jericho from the 3D Labs at the TU in Berlin. Now, Samuel, could you tell me a little bit more about 3D Labs? Yeah, so we are an institution at the Technical University of Berlin and we are specialised in 3D scanning and 3D printing. We have two big topics, medicine, technology and museums. Okay, alright. So could you tell me a little bit more about the products and the technology that you're showcasing at the ID TechX show? Yeah, right now we are showing two big sculptures, one from an Akhenaten. It's a Parao that you can find in the Egyptian Museum, it's a replica and the other one is Polar Bear Knut that was a famous bear in 2011 and this is a replica based on CT scans and we both printed them with a plastic printer in gypsum and here we also have other technologies, plastic printer. Okay. Yeah, we mostly produce smaller models with a plastic printer, it's called a selective laser centering and these models can be, they are flexible, the gypsum models are not but they are big and the small models are a little bit flexible but we not only print beautiful models but also functional models so replacement parts, parts that have to work, that have to adaptors, switches, cases for electronics but also our logo and sculptures and resized CT files. It looks like something like that would be very fragile. In fact something already broke up but it's no problem, we can still reprint it and it's sized up by the factor of two, the original is like this big but resizing on the computer is no problem but with a gypsum printer we cannot do all sizes because the models are more fragile but gypsum print can be colored so if you want to have a multicolored object it has to be gypsum and yeah so we are very diverse in what we do, it's technical and cultural so serious and fun objects are possible with us and yeah we work together with museums and for example institutions like the German Heart Centre but actually everyone can come with a 3D file to print. So do you think museums would be the primary beneficiary of this technology? Not primary but they are benefiting, they really see the advantage of 3D scanning and printing for example if you need a replica because you want to lend the original to another country then they could show an empty post but most museums want to show a replica or if you want to restore an object you don't exercise on the original, you do it with a copy or a very interesting application is creating touchable models for blind people so they don't have to rely on hearing text, the description of the models but they can touch it and they are resizing a model that makes sense seeing people would go closer to see an object in more detail but blind people cannot do it that's why we can resize models either bigger or smaller depending on what details we want to show but touchable models are also nice for every kid who are not happy while just looking at objects and making objects of museums touchable is the next big step and 3D scanning is the start to make a replica and 3D printing is the end maybe not completely the end, sometimes we have to post process the objects to create a specific surface the printers can only make one kind of surface, that's the limit so if you want to have for example a golden moon, we cannot print in gold, it's way too expensive so we print it in polyamide 12 and then we coat it with leaf gold so this is one example of post processing and this is only for our benefit we want to showcase this but all museum objects are helpful for bringing museum exhibitions a step forward because museums try to stay modern and on time with their exhibits great, and then just one last question, what do you think of the ID Talk exhibition? well for us it's very interesting, when we were first exhibiting here we were a little bit strange because we were introducing nothing electronic but it was very welcomed by the people and that's why we are here every year and we are a nice addition I think and when we take a break and look through all the other technologies we also, of course we learn stuff because it's not our topic and we find, every time we find a connection between two different technologies there are hours and the other where there are potential steps for the future so some develop a material that has never been used in 3D printing for example and then we are interested in what can the material do for 3D printing for the sculptures or photo types and for electric conductivity, we never thought about it but it's obviously a topic so we also think about it so the connection between so different companies is very interesting for us and also talking with people, some come and don't know Jack about 3D printing that's interesting and some people know everything and still we can tell about, as you realize now I cannot stop talking so it's such a fair, it's very interesting for us and we are happy to come back next year Thank you very much for giving us such a detailed insight into your beautiful models that you've brought along You're welcome Thank you