And today I'm talking about citizen data science with Home Assistant. My own background actually, I come from a scientific background. I did a PhD in physics and I was basically building experiments that would study man-made crystals. Okay. Okay, so just to give you a brief overview of what I'm going to talk about, I'm first going to introduce the topic of the smart home and smart hubs and answer the question, what are they and why should I care. I'll then give a brief introduction to Home Assistant and tell you why I think it's a great platform for doing citizen science. Then we're going to have two case studies. I'm going to present the first one and that's on a bird classification project I've been working on. Okay, so is that working? The first topic, smart home and smart home hubs. What are they? Well to start with, there's a few more people coming in. People are buying all kinds of connected Wi-Fi devices like Wi-Fi connected light bulbs and other kind of smart things that they're putting in their home. This ranges from quite simple things, things that you toggle on and off with their remote control through to more sophisticated smart devices. A nice example is this learning thermostat and this basically learns your habits over time and adjusts the heating in your house to save you energy. So for instance, if nobody's home, the heating will go off and it'll save you some money. So typically people start buying these things and their home maybe starts filling up with a few of them and what they really want is a hub to centralize control of all those different devices. So you've got a few commercial ones out there and the obvious one is Amazon Alexa. Does anybody in this room have an Alexa? Okay, quite a few people already. There's a couple of other ones. So Google, they come to the game a bit later on but they've got their Google Home and Apple have just released this, well six months ago now, this smart pod speaker which basically is a smart home hub as well. So these are great services, great toys, but they're a bit limited in terms of how you can actually access the data that they're capturing. So you've got a dozen devices in your home, this thing is aggregating that data in some way but you have no way of actually getting to it. They've also got privacy concerns. So there was a recent article in the news, this Alexa inadvertently sent somebody's private conversation over the web and it ended up in somebody else's home. So there's a couple of things, concerns people have about these commercial solutions. I want to do a bit of sort of future prospecting as well like we had in the previous talk and just sort of speculate for a second, what would a future smart home be capable of? Well, I think there's a number of things that we'd like it to do. We'd like it to have routines which can save us time, energy or money, a bit like the learning thermostat. There's a couple of problems, challenges you have when living in a home that I think a smart home would be really good at solving. One that I've identified is non-invasive monitoring. So let's say you have an elderly relative and you're a bit concerned about their welfare but you don't have to invade their privacy by sticking cameras in their home. The question is, can you come up with some kind of system which can sort of monitor them, give you that reassurance but not invade their privacy? And I think a smart home might be one way to do that. Another idea I've had which is actually inspired by an episode of Black Mirror which is a really great TV series, you have to check it out, is this idea of the home learning your personal preferences over time. So what actually happens in that episode is a smart home learns how the person likes their toast and so they get a perfect toast every time. But you can imagine it learning different habits for different people. So these are just a few of the ideas and I think it's going to be probably people with a data background maybe even Python data scientists that are going to drive some of these developments and innovations but what we really need is an appropriate platform to try these ideas out. So that's where our home assistant comes in. What is home assistant? Well, it's an open source home automation hub. It's written in Python 3 and it runs totally locally. So most people have a Raspberry Pi in their home that they're using to run home assistant. This is also a very popular project on GitHub and right now it's got over 14,600 stars and it's growing at an impressive rate. We've got a very active community as well. So based on regular downloads we think there's at least 60,000 regular users of home assistant. If you want to check out the docs and get a feel for what home assistant looks like head over to the website. I've just got a screenshot of it over there and you can see the URL at the top. So the next question is what can you do with home assistant? Well, it's a smart home hub. So what it's really great at doing is linking together different services allowing you to control them all from a central place and you can then set up very advanced automations to do routines. I've got a screenshot over here just of some of the main sort of high profile integrations that are available within Home Assistant. So it actually started out with the Philips Hue smart light system but it now supports the IKEA system. There's also integrated media players so you've got the Plex Media Player in there and other kind of web-based services. So like Dark Sky is an internet weather service. Okay, so the next question is if you're curious about Home Assistant, what do you need to get started with it? Well, you don't need an awful lot of money. I reckon that you can pick up a Raspberry Pi for £10, put it in a case, you're talking £15 worth of hardware, if you've got your own power supply and an SD card, then you're ready to go. So the setup process is pretty straightforward. What you would do is just head over to the URL there, download a disk image, you then flash that onto the SD card and then an optional step is to set up some of the configuration for the Wi-Fi, for instance. You would basically just edit a text file on the SD card, plug the SD card into the Raspberry Pi, give it about 20 minutes and it's going to connect to the internet and download the latest updates to Home Assistant and then it's going to start a little web server which you can access via this URL over here. It's got a really neat auto-discovery system so it sort of scans your network and if there's devices that it can control, it will pick them up automatically and give you a nice step-by-step prompt to configure them with Home Assistant. Once you've done all that, you can start exploring and configuring extra services like the web-connected services and customizing the look and feel of Home Assistant and creating automations. Okay, so I've said it starts a web server, so what is the UI? Well, it's accessible via the browser and basically you get a panel. This is the sort of out-of-the-box interface to Home Assistant. You can see across the top here we've got some sensor readings, these are just numerical readings of Home Assistant, and these are showing controls to switch on devices that have been connected to Home Assistant. You've also, in this case, this guy is displaying a media player, so this gives you a very standard way to look at Home Assistant. But the great thing about Home Assistant being open source is you're not limited what you can do with it, so you can completely customize the look and feel of Home Assistant. There's this really neat project on GitHub and it's called Floor Plan on to a 2D map of their home. So this guy over here, this is a real-time image that updates. So what you're seeing on the graphics there are sensors he's got in his home, and if, for instance, the door opens, the door will actually open in real-time on that display. So it gives you a really neat way to know what's going on in your home. This guy's also got his camera feeds over there and some other weather data, and I believe that the way he's displaying it is via a tablet on a wall, probably in his living room or something like that. Another point is there's lots of creative people out there trying new ways of interacting with a smart home. Okay, so this is a talk about citizen science and data, so the question is how do I view the data that Home Assistant is capturing? Well, it actually gives you a standard interface to look at the data that's being recorded in the database via this history tool. What you can see across the top there is categorical sensors, so, for instance, binary sensors that are on or off. And then below, we've got numerical sensors, so in this case, he's got, I think, some temperature sensors and it's just a time series plot of the data they're capturing. Like I say, because Home Assistant is open source, you're not limited in the way they actually view the data that's being captured by it, and a real neat development of Home Assistant is this idea of add-ons. So basically, you have a kind of web store inside Home Assistant where you can, with a single click, install other services on the same Raspberry Pi and automatically bring them in with Home Assistant. One of the popular add-ons at the moment is this InfluxDB and Grafana add-on. I don't know if you know about InfluxDB, but it's a very popular time series database in Internet of Things. So basically, you set things up so that Home Assistant would plumb its data into InfluxDB. Grafana is another tool, but it allows you to build dashboards that look at data within databases. So this guy is actually configured, I think he's showing his download speed on the right there, and then across the bottom, you've got some other sensor data. But the point being, you can actually create really nice visual ways of looking at the data you're capturing without very much effort at all. So while we're talking about add-ons, I just want to briefly mention an in-development add-on, which is that of a Jupyter lab server. So if anybody's a data scientist, they're probably working with Jupyter notebooks some of the time at least. My idea here is how do we get people doing data science? Fire up a Jupyter notebook and start looking at data they're capturing. So what we're working on is an add-on which allows you to create a Jupyter lab server with a single click, and that will all be linked so you can automatically get the data from your database on Home Assistant. So that's a work in progress, but I think that could be really neat. Okay, so we can get a little bit more technical now. Seeing as we're talking about data, and I just want to give you an overview of the backend that Home Assistant is using. So it's using a standard SQL database. It's a SQLite database, but you can change that and use MySQL or whatever else you want to do. This is great because it's a standard tool and you can use SQL queries or pandas or even R to look at the data that you're capturing in such a database. I actually wrote a small package called the HasDataDetective, which provides a bunch of convenient functions to help you passing the data out of the database, and I've got a plot that I created using that package which is just a time series plot showing well, I'm thinking green outside temperature and then in red just the temperature in my home. But this is really simple to do. And it's on PyPy, so you can install it pretty quickly, and I was playing around with it the other day, and I wanted to know, could you collaborate with other people online on analyzing your data in Home Assistant? And I picked up this tool, Google Co-laboratory. Has anybody else tried that one? No? Okay, well basically it's one guy, but basically it's like a Jupyter notebook server that's running on one of Google's servers, and it's pretty neat if you're looking to get into sort of deep learning and stuff, because actually with a single click of like a drop down menu you can start using a GPU and you get 12 hours free usage of that. Anyway, the point being it's an online environment with basically no setup, no install, with a lot of potential, and you can analyze your Home Assistant data online in that way using, well, the tool that I wrote. So check it out. Okay, so while we were talking about data, I wanted to briefly talk about different ways of getting data into Home Assistant, and I think we've got a couple of people here that are interested in MicroPython, is that right? It's all one, okay? So there's lots of different ways you can get data into Home Assistant, but I just want to focus on the ways you might do it, maybe from MicroPython or from one of these MicroBoards that run MicroPython. The first way you could do it is a physical connection. So if you're running Home Assistant on a Raspberry Pi, it has these GPIO plug-wires and sensors into Home Assistant, and you could use your MicroPython board to sort of stream data in that way. Another way you can get data in is by using the REST API that Home Assistant creates, so just using standard web calls. Another protocol that's supported is MQTT, and this is a very lightweight messaging protocol that's particularly popular of the Internet of Things, and actually this is the approach I used when I wanted to integrate a MicroPython board into my Home Assistant setup. So I bought a flat last year, and I upgraded the boiler in it. It was supposed to be, you know, brand new. Within six months, this boiler started leaking, and this was really annoying. I was getting messages in the middle of the night from my neighbour to say there was water coming through the floor. So I wanted to create a sensor that would tell me when this thing was leaking, capture more data about when the leak was happening, and hopefully in that way figure out what was wrong, so I had a couple of engineers came out and said, well, there's nothing wrong with the boiler, we can't see what's wrong. So what I did, I used one of these MicroPython boards, in this case I chose a Pycon board, and I put a temperature sensor on it and a moisture sensor. And what you can see in the image over here is this is my boiler, and this is the temperature sensor on the side of it, and that's the moisture sensor down there. I wrote some MicroPython code that would ping regular readings from these sensors to my Home Assistant with that using the MQTT protocol and had a little real-time display on Home Assistant of the readings. So I ran this and had a few more leaks and I noticed that the leaks, they were always happening when I wasn't home, but they were happening exactly at 5.15pm. When this was such a specific time that with the engineer we were able to figure out what was basically causing the leak. So we solved it, I haven't had any problems since, so that's great. So this is an example of using a data to solve a problem you have in the real world. Oh, and it's all Python as well. Okay, so that's my introduction to Home Assistant. So, like I say, we're talking about citizen science and we have two case studies and the one I'm presenting today is a project I've been working on very recently on bird identification. So my mum, she's really interested in bird watching and the sort of bird life, and she bought me this bird feeder and it's got suction pads and you can stick it onto your window. So I stuck it onto my window at home and put some seeds in and pretty quickly had birds coming to my window because this is over winter. The birds, you know, they're very hungry so we had a lot of activity. It was really fun to watch. It turns out there's all these sort of science studies run by organisations like the RSPB Royal Society for Protection of Birds and what they ask people to do is to watch their bird feeder and then write down the birds they see coming and then at the end of however long this project runs for three months or so you can get a picture over the whole country of what's going on with the bird populations. Well, I thought, well, I've got home assistant and I like to learn about new technology so why don't we see if we can have home assistant automatically capture images of these birds and preferably classify the birds that it's seen as well. So what I did is I purchased in this case a 10 pound USB webcam I plugged it into my Raspberry Pi 3 which is running home assistant and I stuck it on my window still pointing at the bird feeder with the typical image that I would capture. I set up, I used one of these home assistant add-ons to set up a motion detection system so the camera when it detected motion would take an image. The only problem with this system was motion triggered systems they're not discriminative so even if there was a funky light effect or a plane in the background it would trigger the motion capture and ended up with literally hundreds almost thousands of images probably less than half of them actually had a bird in so this obviously was not going to work as an approach to quickly gather images just of birds. So really the first challenge was what kind of classifier can I use to sort out the images with birds and those without. So this is an image of a bird, this is one without a bird and I had a look online I've been just generally interested in learning about deep learning and image classifiers and I found a really neat tool it's really simple to use machine learning in a box they call it machine box and those guys are actually based in London as well I think the whole thing's written in Go actually but basically there's different machine learning models and they run inside a docker container and they expose the model via REST API so this is everything that I needed to get started integrating this into my project so basically I had a thousand images and I physically sorted them 500 with birds, 500 without birds I've practically got RSI sorting these things into two folders it took a while but nevertheless I used one of their training scripts to then post these images to the classification box which is what they call their classifier and you do a test train split and the classifier came up with an accuracy of around 90% which really surprisingly is pretty good I guess probably the reason is that actually classifying the non bird is pretty straightforward but one of the things I want to get from this process was learning more about how you actually come up with accurate image classifiers okay so the next task was integrating that into Home Assistant and I've got a diagram showing how I've gone about doing that so on the top left I've got my USB webcam this motion captures an image Home Assistant I've got running on a Raspberry Pi that has a component which detects when an image has been saved in a folder and will then post that image over my local network to machine box which has the classifier running in docker in my case I'm running that on a local server I'm actually running on a Synology that will perform the classification then return the result to Home Assistant Home Assistant then I have an automation which says if the chance that there's a bird in the image is greater than 80% send me that image so that's what happens if there's a bird in the image it posts the photo to my phone with a notification this is quite a funky image you can actually see I think it's a Robin or something leaping off the bird for you to be heading that all this ground so yeah I wrote some custom code to do this and the URL for the GitHub work is down below so that brings me on to my final slide for this bit what's the next steps for this particular project well I'd like to see like I said I want to learn about image classifiers I want to see if by curating the images that I use to train a classifier can I improve the accuracy can I get up to 95% maybe after that I want to also be able to discriminate by species because I have probably blue tits even parakeets visiting this thing the great if home assistant can say hey there's a parakeet with a 95% probability and I can start to actually gather data that would be directly relevant to the bird watch study I mentioned earlier on obviously I'd like to contribute this data to that study as well and my next task is to integrate classification box into home assistant so it becomes really simple for anybody that's familiar with home assistant to start using it another idea I've got is how do we share this work with people that don't have a technical background my mother for instance wouldn't really know about image classifiers so my idea is probably to publish this work somewhere maybe on haxter make the classifiers available provide all the scripts that I use just to set things up and then anybody with budget of about 30 or 40 pounds will be able to reproduce this work finally I need to make my bird feeder magpie proof because I've had a real problem recently a magpie has discovered that by it was too big to actually get on the bird feeder that's what it does it clings on with one leg and sort of scrapes up the window with the other leg so it's pecking away through the hole to get the food and it's actually ripped the bird feeder off the window several times now and it has a hole in it but I captured this quite interesting you can see the magpie having a feed and it's actually managed to almost yank the bird feeder off the wall this blue tit has come along found that it can't feed in its regular way flown around for a bit and then discovered it can actually feed at this hole over there so this has been quite a fun project overall so that's my project and I'll see you over to Oliver to talk about pollution personalised pollution and everything


What's up, guys? Welcome to SPM Buzz. My name is Liz Jackson and I'm reporting live from the KICC where we do have the TTNT for Bainjugush and I do have the official Nikwita MC, I'm a Hypeman's Jewish Tamulisha. Let's say Hypeman for the day. Hypeman. MC Gogo. MC Gogo is my name. Nani aju MC Gogo? MC Gogo, let me take you back to our time where I think you met in Jugush for the first time. Was that the first time you met him? That was the first time we met in Jugush. It was at a certain event, Paletikarone. What was the conversation? Jugush, Jugush, from way back we had followed each other on social media so he was a fan of my work, I was a fan of his work. So you see kukufi kandoni kawana eh kumbe kijana metambua kazi. So it was all about work, he was telling me he loves what I do and all that. And when he contacted you to be the official Hypeman for TTNT4? Ulifila Ajay, how was that conversation as well? That was one of the best feelings on earth. Let me say that because from TTNT1, nime tamani sana kwa TTNT. So I reached out and said yes, this is what I've been waiting for. So it was a very amazing conversation. I actually loved it from day one. I hope nimi tifu did nika say ma, I hope si na gigi usiko. Nivizuri si kwa nagega nika fika TTNT. Alafu, e gigi guna fanya free amame fika beg? Jugush eh zifan jami tuza free. Jugush ya na fika beg. Una nata setup yukunda ni wech. Una nata setup. Aame fika. Ata haku bagi. Haku bagi. He is a good guy. Yeah, yeah. So I want you to talk to Selen Jugush, one one for them. Yo, Selen Jugush, congratulations. ki oo puri 11 t sacrednokus Sinuya nufufu wa hivuti wako mibiru ki wcha Haides ni hikun


It is now time for our Member's Statements. The Member for Waterloo. Thank you very much, Speaker. On this first day of school this year, I received a letter from my daughter's school informing me that there were unacceptable levels of lead in the water. The school is doing everything that they can, but the fact of the matter is that the Waterloo Region District School Board, where I once served as Trustee and Chair, does not have the funds to address systemic infrastructure needs. In fact, no school board in this province can make these fundamental maintenance upgrades on their own, be they furnaces, roofs, heating or cooling systems. Provincial governments at one time understood this and invested in education, but today we have a $16 million backlog. But we're not here today, at this emergency session on a Saturday, in September discussing this important issue, we're here addressing the new culture of politics in Ontario, the Ford culture, which involves dismantling our democracy with the introduction of the notwithstanding clause. This clause overwrites the basic charter rights in order to cut Toronto City Council in half a decision that was already determined to be unconstitutional by a superior court judge. People are reeling from this move, Speaker, across this province to quote the columnist Martin Raj Khan that the Premier chose to invoke the notwithstanding clause for such a nonsensical cause, a grudge match that, forgive me, rhymes with a hissing match is a gratuitous violation of our democratic norms. I believe the citizens of this province will remember this. I would urge my PC colleagues across the floor to vote your conscience and deny this Premier his revenge. Member statements? Member for Ottawa Vignay. Weekend in my writing of Ottawa Vignay, the Community Addictions Peer Support Association, CAPSA, is hosting its annual recovery date. I was supposed to be there this afternoon and I want to say outside I am, but I cannot be there with them. Through its person-driven approach, CAPSA links individuals affected by addiction with their recovery services and a sense of community. Recovery Day celebrates the many pathways to recovery in our communities while striving to reduce stigma and raise awareness about addiction. I'm very proud to support organizations such as these and for the work that they do, and I am particularly happy to support CAPSA today in Ottawa. The support we're trying to get away from addiction is essential. Community support is also encouraging us and giving us hope. That is what we're covering the day stands for, and I will keep supporting them. I think we should stop working and trying to destroy local democracy and move on to support and increase the services to our fellow citizens. So I call on the Premier to step up to the plate, act like the leader of Ontario, not the mayor of Toronto, stop trampling on local democracy, and please come up and do what your job is supposed to do. Thank you. Member Stevens, the Member for Nickel Belt. Thank you, Speaker. I want to bring forward to the House something that is happening in Sudbury right now, our hospital Health Sciences North is facing an $11 million deficit. They were really encouraged when they heard the Premier say that there would not be any layoff of nurses, that he would make sure that moving forward, that hospital would be staff with the right amount of personnel to look after us. Well, this is not at all what is happening. In Sudbury right now, we have already lost 70 nurses, and just this week, Health Sciences North announced that it is closing their breast screening clinic, which helps women who are diagnosed with breast cancer access services in a timely fashion. Here we are, sitting on the weekend. This is extremely important to the people I represent, but we're not going to be talking about healthcare. We're not going to be talking about the needs of these women who go for them, mammography are diagnosed, and then are put on to end less weightless before they are helped. We're going to be talking about a non-withstanding clause that the Premier wants to come forward. There are some real needs out there. There are promises that have been done to people who count on this government to be there for them. And those are the people I represent. And those are the priority that this Chamber should be occupied with. Thank you, Speaker. Member States, Member Statements, Member for Toronto, Dan Ford. Thank you, Speaker. Speaker, I had an opportunity last night to go canvassing in my riding, talking about the municipal election. And it was interesting to get first-hand response from people in my riding. And I should note that the Tories came second in my riding, the Liberals came third. So there are quite a few Tory voters there. People couldn't believe that the legislature was being derailed to go on this attack on Toronto. They understand what's important in this province. They understand the need to deal with jobs, the environment, education, healthcare. They couldn't believe that we were spending all this time on this tangent. Why on earth would the Premier do that? And there are other people who said, okay, I don't particularly like the size of council, but seriously, you're going to use the notwithstanding clause? Seriously? I thought this was for issues that were of national importance, importance across the province, and yet we're wasting our time doing that. I spoke to a parent whose child is in the third floor at Bruce Public School, where it hits well over 30 degrees centigrade. The kids are hot. And they aren't hearing from the government about how they're going to fix the schools. In fact, they cut $100 million that should have gone to fix those schools, $100 million instead of dealing with those urgent issues that are on people's tables. We're here today talking about how to beat up on Toronto. This is a waste of time, and frankly, it betrayed that government's mandate. Member Statements. Member for Tomiskaming Cochrane. Thank you, Speaker. I think we had a provincial election, and people of Northern Ontario thought that it was election for the province. Yet here we're in a manufactured crisis about a case, a case that the government's created about Toronto. Let's talk about real crises in this province, Speaker. For a child with mental problems, with suicidal thoughts, the average waiting time in the province to see professional counseling is 20 days. And 20 days. In the district of Cochrane, in the district of Cochrane, if a child with mental illness expresses suicidal thoughts, the average wait time is 400 days. In the case of many children, that is longer than a lifetime. That, that is a crisis. And that is a case of something that we could have. It's an emergency that's happening right now. It's one that was already created. There's lots of things to fix. You don't have to manufacture the problems. There are huge problems to deal with already. Please do it. Thank you, Speaker. Member statements?


Good morning folks. Steve Rhodes coming to you live from the shores of a very sunny and pleasant Delray Beach, Florida. This year 11 a.m. update. We've got a sea of green out there. All the U. S. Indices that we track are trading to the upside. Dows up 106 S and P 15 Nasdaq 59. The Russell's up seven all about three tenths percent. Summaries are about one and about about a little over one tenth percent. That would be seven points the upside. Don't worry. I'll squeeze it out 56 points for the trannies. Gold's up five bucks. Silver's down 16 pennies like to recruit us off 20 cents. Natural gas is flat. 30 year Treasury printed out at one 19 oh five. Basically a flat move there. Let's try to figure out what all that means by looking at that nine panel market update chart. We begin with the U. S. many upper left hand side. Not much has changed. We've got a rogement and indicator top that form with that very shooting star back on March the 21st pretty much has led to just a sideways type move price is still above resistance levels. The resistance of the top of its daily profile but it did run into its oscillator and change like the fifty three oh one area out there. We take a look at spot ball tonics. It is still below its 50 day expense moving average strain below yesterday's low. So at this stage here all that looks good for the S. and P. 500. The N. Q. same kind of pattern as the as the E. S. it's got a roadsman to indicator top. It has just led to a sideways move out there. It's a no big deal. Now support if we were to get a thumb to the downside would be down at eighteen one fifty eight. Take a look at the U. S. dollar index it has going to come it's going to complete a teeny nine count top today that should that suggest that price should pull back further. A price target here I would say would be the one oh three thirty two to one oh three oh three level that happens to be the center and bottom of its weekly profile. Goldilocks we've rolled this over to the June contract. April still is out there. This is consolidated with inside its daily profile support at twenty one sixty eighty. So that's a new level for you to write down in your pad of paper twenty two twenty three thirty is the top of that profile. Again that's for the June contract. Silver is consolidated with inside its profile support at twenty four thirty six resistance at twenty five fifty one lights recruit has a cell the D point pattern price is not been able to even get below the center of its bullish structure daily profile. Its buy zone is between seventy nine eleven and eighty forty four resistance up at eighty three twelve natural gas. Don't know what to tell you here. It still has a by the D point pattern but it is not doing too much. It's certainly not following along with the seasonal structures out there. Finally if we take a look at thirty year treasury it's trading still below my black background screens below the bottom of its daily profile. Any rally should find resistance between one twenty twenty three one twenty one oh four. Folks stay tuned for the trader's edge show but if you have to start your Tuesday please have a terrific one. We'll look forward to speaking with you again soon. Take care now.


Hi everybody, Joe for jaspyscasebreaks.com, coming at you with 2021 Panini Flawless Baseball. Two box, pick your team number 14 from jaspyscasebreaks.com. Really nice stuff, high end release, these are Photoshop images of preview photos that they released a while ago. High risk, high reward in a really nice high end product.  I appreciate that. And Chris was able to get the Cardinals last spot mojo before we pulled teams for that random number block. So we did pull these three teams and turned into a serial number break. Those are the results. If you want to watch the actual randomizer, we posted them in separate videos for full transparency. There was a second one as well with a different set of teams. Thank you. Alright, and both briefcases, a flawless. Thanks everybody for knocking this out, good luck. We did post one more, we did post another flawless case on the site, so if you're watching live, you can grab your teams right now. jaspyscasebreaks.com. We used a couple of blank cards here, a couple of blanks here to hide some of the hits, the encased hits. That's an autograph, I think that's just a gem on the left side. Sometimes there's a third hit that's in this spot right there. Not all the time, but sometimes you can get a bonus one. Alright, good luck everybody. Empty box, and first one out of the gate, I guess we'll use another blank card to cover up the slider box cards as well. So we'll be, I guess as surprised as possible, as surprised as we can possibly be. Alright, first one out of the gate, 13 out of 15, Urim and Mercedes. Nice blue foil there, Urim and Mercedes, White Sox, Andy picked up the White Sox straight up. One out of seven, Johnny Mays, Stan the Man Musial. That's pretty awesome. Last spot mojo, Chris with the cardinals, gets these two old school cards. One of them's coach worn used material, it's pretty nice. And we've got a body Dalbeck, eight out of ten, Rookie, Patch and Autograph, one of the rising stars for the Red Sox, and the Red Sox are part of the Dodgers, part of the Yankees Dodgers number block. I don't know if this is going to fit into a 180 top loader, this is a tattoo big.  Next up is 25 out of 25, Ben Zobrist. And that's for the Chicago Cubs, that's part of the other number block group, so that'll go to Chicago Cubs 5, and that's David. One out of 25, Brennan Rogers, three-color patch autograph, no not the Leicester City coach, like most of you were thinking, but baseball player, Brennan Rogers. That'll be for the Rockies, Rockies are a number block team, so that goes to Rockies 1, we go by that digit right there, and Jeremy Port of Colorado 1, three-color patch and auto, Braylon Marquez, five out of 25, four of the Cubbies. Number five, Cubs 5, David, who has a Nike, Ben Zobrist have a little Nike logo on his auto, Odalbeck, that does kind of look like a little Nike swoosh right there for Bobby. Alright, we've got Estevan Floreal, 25 out of 25, three-color patch and autograph, that's for the Yankees, Yankees 5 is going to be for David, and look at this, old school Brooks Robinson, 15 out of 15. That's for Aaron and the Orioles, picked up the O's straight up, see what we got here, the Gem, now this little car, the small princess, the Gems are all naturally mine, not lab grown, five out of 20, MVP, wow, Ichiro Diamond, that's nice, Seattle, Matt Lieber with the Ichiro Diamond, five out of 20, that's awesome, congrats. Alright, on this side, maybe we're going landscape mode here, it's a hitter, eight out of 10, that's Joe Odell, nice three-color patch, auto, RPA, Angels, picked up straight up by Matt, so Matt sweeping, let's say Matt, Matt L with the Ichiro and the Joe Odell, sweeping the encased cards, nice, but wait, there's more, got one more, is Estevan Floreal going to play soon, hopefully, I feel like we've been seeing a lot of his cards over the years, did he play any last year, I feel like I don't remember him playing last year, but he's supposed to be one of the bigger prospecting names for the Yankees, the auto again on the right side, and then the Gem on this side right here, alright, good luck, second briefcase, alright, we got Jose Altuve, 13 out of 20, Mastercraft triple relic, and that's for Thomas and the Astros, there is Orlando Sepeta, two out of 15, triple relic for the Giants, my rivals, that's going to go to, oh that's going to go to that San Francisco number block group over there, so that'll go to Giants two, that'll be for Shea, Will's asking what happened to the Joe Odell hype, I think he did play okay last year, you know, Logan's saying it wasn't great, I thought he did play okay last year, there's one out of 15 Star Swatch signatures, Alejandro Kirk, two color patch and autograph, maybe I'm misremembering, Toronto, Michael Alosia with that one, man I guess he didn't do that well, he played, he only played, he only played half a, he only played 35 games last year, but hit 240, maybe it was a later call up, 246, 4 home runs, 26 RBIs, look at this, Mitch Moreland, 3 out of 3, flawless performances, another fat card here that's going to need a slider box, that goes to the Oakland A's, Oakland 3 is going to be for David David, all aboard the Big Head Express, whoop whoop, give me a second, I'm going to grab those slider boxes right now, yeah, Cabrion Hayes started off hot, but I think he got hit in the wrist by a pitch, something like that, and then he was out for like a couple months, and then he was kind of slow to kind of get back into the swing of things, so which was unfortunate because there was hype on him going into it, yeah it's pretty nice right Peter, 3 out of 3, flawless performances once again, that was that train whistle hit for David in Oakland, it's Dalbeck into its case too, and our shipping team will put a couple blank cards in there just so, not rallying around, next up is rookie patch signatures Hassan Kim, 13 out of 20, 3 color patch in autograph for the Friars, Kevin with San Diego, triple relegant autograph Austin Martin, that's still Toronto edition there, 19 out of 25, Austin Martin was involved in that trade that sent him to Minnesota I think, but this still obviously goes to Toronto, that'll be for Michael and the Bluebirds, one of their bigger prospects too, next up is Heston Kirkstadt, another high first round pick, 5 out of 20, Baltimore Orioles Aaron, so hopefully we'll see Austin Martin and Heston Kirkstadt in a couple years or so, and last one here is Alex Kierloch, another it's a former number one overall pick I want to say, 1 out of 25 for the Twins, and the Twins are part of that Metz number block group, Twins 1, Minnesota 1, Jeremy Port, Twins up, what's up, any hype on Jonathan India, should be for the rookie of the year, reigning rookie of the year now, I'm sure if and when hopefully the season will get underway soon, and if he starts off the season hot, I think that'd be the hashtag good for the hobby, yeah it was a kind of a weird year for young guys and injuries and baseball, we did okay with doing baseball breaks last year, so, but there wasn't really a big huge rookie chase, I feel like there's gonna be a lot of value in 2021 product for baseball this year, as those young rookies from last year's sets really start to get their groove, get into a groove in the pros and the bigs, 17 out of 20, we have Rafael Devers, Rafael Devers Diamond, 7, Boston 7 is gonna be, it's gonna be for David, there you go David, alright, and last but definitely not least, we've got, whoa, material cuts, what do we got, wow, dual relic and cut autograph Joe Medwick for St. Louis, old school and St. Louis was the last spot mojo for you Chris, in Medwick St. Louis featured a dynamic squatter who could easily lead the league in hits or doubles or triples or homers or runs or RBIs or total bases or batting after or slugging percent or OPS, in fact the team saw its chart topping star pace the circuit in each category at least once and root to the hall of fame, it's the copy on the back, nice, the signature and game worn slash used material guaranteed by Panini America, does that look like a check, maybe there's some numbering down there or a letter maybe, so that's awesome, Chris, all aboard the big hit express, whoop whoop, oh nice, Will's got some good trivia for us, according to Will Driggers last triple crown winner in the national league, that is awesome, there you go ladies and gentlemen, I'm Joe for jazby's case breaks dot com, the case is closed on Flawless Picker team 14, we've got another full case break in the store right now, jazby's case breaks dot com, go and get it and I'll see you next time for the next one, bye bye.


So this is the NVIDIA GTX 1080. Hello, so who are you? Hey, hey, I'm Alex Trim from NVIDIA. And is this the fastest GPU in the world? Definitely. It's our just new build NVIDIA Pascal based GeForce GTX 1080, the most fastest single GPU graphic card in the world. So are you showing it in action right here? Should we walk around? Yeah, sure. So what we're showing here today is our new technology of our VR stuff and including an important feature we call Anso. And what do you call it? Anso? Anso is actually named after a guy, a pretty famous photographer called Anso Adams. And we utilize his name as our new tool for in-game capture. So how does that work? So how about I go to the other side? Yeah. So we can see here, this is Anso. And this is actually a real game, a real game inside a game which is called Witness. So what we have in here is just to bring up a feature we call Anso. We just press the hot key and bring up this specific unique user interface. So what we can do here is the game is originally designed as a person point of view. But with Anso we can control the right of the camera. So we can see here I can actually easily get out of this whole game and see through the whole world. As you can see, originally gamers can only do screenshots. That means you just take what you see from your screen. But with Anso what we can actually do is pre-camera, you can just rotate the camera around get exactly the things you want to have around the world. And at the same time we support multiple different modes of capture things. So what you're seeing here is like a traditional screenshot. But at the same time we can support high resolution, means we can actually set up up to 30 times of current resolution. And we can print this thing 30 times. Yeah, 32 times of the current resolution. Why would you do that? Because nowadays a lot of game developers are kind of using their content to create say digital assets and post them on print out stuff. So we utilize this so gamers, everyone can utilize this feature. So what we're actually showing here is people can actually just grab an image from the game and just print it out with 300 dpi. It's falling down on this small postcard. And still having all the details on this postcard. So what kind of other demos do you have with the 1080 here? Oh, so beyond this, we actually because of Anso stuff. So we can actually not utilizing Anso for high resolution photo shots. We can at the same time to take screenshots with the 360 photo shots. So what you see here is a pre-captured photo shot here. So we are using SCC Vive and the virtual desktop to view this specific unique experience 360 image. 360 image. Yes, it's captured by our Anso. So that's what we're having here. And it's going to be a super important feature that will support not only just Pascal but also for the former generation of our GPUs. So this is a PC based VR, right? Yeah, it's PC based VR. You need a PC and then you add the GPU and then you do VR with that? Yes, exactly. Is that what you're showing here or just have a whole bunch of VR? In the rest of this, yeah. Okay, so today we're also having two different VR houses here. Can we go in there? Probably. Just a second? Yeah, probably, yeah. So what are they doing? So this is a game called Spoken Ronin on Oculus. So this is a very, very interesting multiplayer game. So as you can see, we have two sets of this. So we can have two players play within a single game. So it's like having a shield and having thrown in the fireball to play against each other. So that's what we're having here. A set of Spoken, the multiplayer game on Oculus. And there's some cameras? Yeah, there's your IR cameras to track your houses and their Oculus touch controllers. Yep, sure. What else have people checking on here? And if you're on the Oculus, we actually also have an HTC Vive here. So what we're showing on the Vive is normally just Everest. You've probably heard this before. So what we're having here is... Oh, this is an HTC Vive. Yeah. Okay, can you film me? Yeah, sure. Absolutely. This one? This one? I'll just keep talking. Yeah. You can film around me, right? Yeah, I'm doing that. So the HTC Vive, is that even better than Oculus? So what? Actually, they support the same resolution. So that means, visual-wise, they can actually do the same thing. But of course, HTC supports like a much better tracking system. So people can actually move in around with more motions, gestures. They can utilize for in-game interactions. Okay, nice. I can see it. Whoa. I can see this one in the... Can I grab the basketball? Yeah, of course. Can I pull a trigger? You're gonna need to put it... That's cool. Yeah. Oh, I can feel some movement in there. Are you pushing it? No, no, no. I'm not pushing it. Whoa. Pull the trigger. Are you outside? The ball is on the floor. I'm in space. No, I'm back. Okay. Yeah, that's the next view. So what you're actually seeing here is a game NVIDIA developed called Fun House. So we create this Fun House, utilize a bunch of physics effects to put them in the game. So users can actually experience the real reality thing with all the physics stuff. Do you see anything outside? Yeah, I can actually see... Can I hit you? Where are you? No, please don't, please don't. Where's the girl? I'm here. Don't hit me. Okay. Do you see anything outside? I can only see you swinging your hands all around. Yeah, it looks... Does it look funny? Oh, wow. I have a lot of hunger. I can hit myself. Yeah. Were you hurt? That's great. This is really cool. I can change it out of my... I see these things. Wow, that's cool. You turn into a border guard. Yeah. Oh. Nice. I'm shooting some clowns. Yeah. You don't see my clowns? Yeah. Am I shooting you right now? A little bit. Yeah. Actually, you can shoot on the ground and you can find a hidden transparent video logo there, actually. My shoes are not in the game. You needed some trackers on my shoes. Or if we can do that, that's going to be awesome, of course. That's so cool. Oh, my God. VR is cool. Whoa. Okay. That's fantastic. Okay. Thanks a lot. That's cool. Good job. Whoa. How much? How much for this system? If you're saying the whole system, including the VR headsets, of course, including our hop-wares, all the graphic costume. That's beautiful. So this is the HTC Vive with the controller? Exactly. Two included? Two included. One is left. How much? It's $800 right now. $800 is available? It's already available. It's already available. And they just recently announced that you can easily just buy some at retail stores. That's so fantastically cool. But there's only one game? Yeah. We have different games. Another thing, Everest and another room. So what we're actually having here is Funhouse, like I mentioned before. And this is actually with design on 31080s. Because we're using two 1080s for graphics rendering and the third one for physics simulation. So 31080. Yeah, exactly. Can you do 3 times 4K? Right now, the display that could be up in the eye is only one time 4K, right? So it would be 2.3K each? Technology-wise, of course, we can do that. But at the same time, we need to accommodate the headsets. We need displays with that kind of giant resolution. That's awesome. Cool. But how soon will there be tons of games with that? Actually, this year is like an explosion of all the VR contents. So I believe for 2016 we will see a lot of new stuff, including games, applications, going to happen in this year. Is the HTC Vive, is that the coolest one? Yeah, I guess. Or Oculus has some equally cool stuff. What do you think? So we're actually doing cooperation with two of these firms, actually, at the same time. So we're providing SDKs, engines, developing tools, all at once, to help this to, say, content developers to utilize it. But in here, can we go again? Sorry, where are the sensors? Are there some sensors around somewhere? They're actually put it up there. This one here. Another one here. Another one, that's it. You need this in your room, right? Yes. Is that included for $800, including sensors? Yes, absolutely. And the two controllers? Two controllers, one has it. Wow, cool. HTC is cool, right? Yeah, it's really cool. Fantastic. That's great. So how soon is the 1080? Available. The 1080 is already available. So you can easily just buy it in retail stores or online, e-tellers. Does HTC use the 1080 in that demo? 70. You mean those systems? Yeah. We actually use three 1080s. Three 1080s? Yes. Two for graphics rendering and one for physics simulation. You need three for this to work? At this moment, we designed this, designed this funhouse. Just wanted to have the richest content experience for now. So, of course, in the future, we will have it available free on Steam so people can download it and it will shrink it into, say, one GPU or two GPU version so people can still experience kind of the same thing on their available systems. You need a fast Intel PC and then you add the GPU in the PCI slots? Exactly. And how much is this GPU? For now, for NVIDIA's founder's station, it's $700. $700 per board. Yes. What is this? This is actually an HDR demo. We call it Paragon. Paragon is actually the game developed by every games. It's a mobile game, sort of shooting. So, this demo is, you know, we cooperate with them to create this character model. So, what we're showing you here, so in the past, like things like 3D, stereo TVs or 4K TVs, there's always lack of content. So, like, we can always leverage GPU to create more and more content. We can also render games within HDR color depth. So, that's what we're showing you. What is he doing there? These are all CD's. So, you can actually now play with Oculus. You can also use the Xbox controllers as your input device to play with Oculus. So, you just... This is a game called Lucky Scale. So, another kind of action games. So, get a chance to experience in virtual reality. Alright. Cool. So, lots of things happening. Yeah. That's the thing we're happening here this time in COMPITUS 2016 for NVIDIA.


In the book Mindset by Carol Dwight, she says most people either have a fixed mindset or they have a growth mindset. A growth mindset is someone who knows, I can improve, I can get better. There's no limit to what I could become a fixed mindset. It's someone who looks at it and they say, this is me, this is why I'm going to be forever. And so with your question of just, can we change people? Everybody has someone that they know and that they love and they want them to be better. They want them to go on this path of becoming better. But it's like the phrase, you can lead a horse to water but you can't make them drink. Lots of people like to do stuff through force. I know what you need. I want to help you improve. I want, you love this person so much that you want them to become better because you know that they would be happier. You know they would be whatever it is. They would find more joy in their day if they made these changes. But and most people do that. They try to force them to do this. They're like, hey, come on, let me help you. Let me take you to this. Let me take you to this. Let me, we can read together. We can do all of these things. And that's the way of being like a tow boat, right? So they say you could be, if you're trying to help somebody improve, you could be a lighthouse or you could be a tow boat. A tow boat will go out to a boat and it will pull it into the harbor. A lighthouse is how most people should be. And that's like the phrase be the change you want to see in the world. A lighthouse is in the exact same spot. A lighthouse never moves from the spot that they are. A lighthouse knows its job and that's job is to shine its light. And it does the exact same thing as a tow boat, right? It gives light so that the boats outside of the harbor can get in the safety of the harbor. But it doesn't go out and pull them and force them.


What's going on everyone Sam here late in sports cards We are doing 21 22 panini one-on-one basketball hobby 10 bucks full case break number 26 pick your team Gonna read off the list of names and teams Anthony C Thunder Anthony S Spurs Bohia B Clippers Chang S Nets Hawks Chun W W Wizards Derek U with the Blazers Harper B Timberwolves Hang Y Sixers Jefferson L Nuggets Coompaul P Hornets Lee Wan-Y Maffs Lin Jun-Z Nix Matthew X Heat Sons Jazz Michael M Bulls pelicans Michael F calves bucks or NW Warriors Ricky V Pacers Ryan C Rockets Ryan S Kings Sean M Raptors Tion key H Grizzlies Walter L. Pistons Wendy J magic Wenshin S Lakers and Zary C Celtics. Let's do it guys Good luck everybody. I got Lakers Clippers on now. Here we go. Bye Box one when you do a little Dust off here. All right, we've got rookie for the Pistons. I say a livers 22 out of 30 Nice one there. Congrats Pistons. There's Walter again. Okay, and then we've got Going to the Hornets that's gonna be James book night. Nice one there 77 out of 99 on the prime RPA That's arcade Nice book night. Are you there's no more laughter Oh for Bryson. Yeah box to that's gonna be 79 out of 99 magic Johnson Nice one there. Congrats a Lakers. We've got for the Pacers I said Jackson. Nice one there. Congrats, Indiana Ricky V I know Very early Back-to-back downtowns You imagine back-to-back cave downtowns Unbelievable We've got Lonnie Walker 23 out of 99 for the Spurs Nice one there spurs, and then we've got a three colored RPA Boom, let's go Cavaliers Who took Cleveland in this one Michael F? Congrats Michael our monster right there the prime 29 out of 49 Evan Mobley.  How about a gold IO just soon move six out of ten There you go Michael M. Congrats, man Yeah, this is number 26 Nick Congrats Michael redemption timeless moments autographs blue card number two Is the way Go into the heat Yeah, I'm gonna double-check make sure that is the heat. I can't imagine it's not yes Miami heat blue tough 49 Wow, dude On real blue will be numbered to 49 unless it's Luca the Luca is numbered to Um No, I thought it was gonna be calves Wade Cleveland Cavaliers Wade Do that's sick.  I think that was Matthew. I believe right Matthew X. Yes, sir and Another big timeless We've got Kyle Lowry 14 out of 25 on the purple I don't know where the chrome dust is coming from now We've got blue Franz Wagner two out of 49 three colored RPA for the magic Wendy J. Congrats Dude, that's so sick The magic That's what I'm saying Alastair, but somehow there is somehow there always is Our JB. Yeah, it's just it's just like this place is like made of from those Okay, we've got going to Brooklyn Kessler Edwards nice one there for the Nets Nets is that Matthew again? No Chang s next up Jersey autographs Grizzlies there Zaire Williams nice one there Memphis 85 out of 99 Congrats Memphis. I agree Eric that I assume who's actually kind of a nice card the gold. Yeah, that's solid man Second gold IO we pulled tonight so we pulled the RPA gold. Nice Going to the Hawks Bob Pettit 50 or no that is 66 of 99 so there was Bill Russell in the back such a cool card man Bull-legged Got Grizzlies again Jaren Jackson Jr. 48 out of 49 back-to-back hits for Memphis. Who's got Memphis doing pretty well here Tion key H And they were for sure Trav for sure One we've got a Brandon Ingram for the pelicans 60 out of 99 or no 80 out of 99 Brandon Ingram Congrats pelicans rookie Jersey autographs For the Rockets Alfred shungu and very nice 60 out of 99 Congrats Rockets Ryan C. There you go Ryan Ryan.  Who's got this team?    Look at the detail on everything like the dragon and the trolley So cool, man Chase him six figures and pulls tonight. We're trying man. We're trying Tim. Oh, man. That's nasty Yeah, rookie sixers Charles Bassey nice one there Congrats on that one there Philly No, they're not one of one they're just like Case hits basically they're even like I'd say even rarer than case hits because there was a couple we didn't pull I think the first two we didn't pull any um the downtown's out of She pulled Luca Curry and Kate as our downtown dude. Oh my god Holy lord Nice one there for the magic 31 out of 99 we've got Jalen Suggs Congrats magic And then we've got our last hit of the break guys going in the next that's gonna be miles McBride Three colored RPA. Congrats. Nick's Linjen Z congrats. Linjen That'll do it for the break guys. Thanks again, man. So much fun Next up we've got tiered random team style