Microsoft HoloLens é um headset de realidade mista da Microsoft. Ele permite que os usuários interajam com hologramas digitais no mundo real. A Microsoft também produz outros dispositivos como o Xbox, Minnowboard Max e Raspberry Pi para Internet das Coisas e desenvolvimento embarcado.
16. TOUR
Minnowboard Max Raspberry Pi 2
Arduino virtual shields Netduino 3 - NETMF FEZ Spider - Gadgeteer Gadgeteer on Windows 10 IoT Core
Notas do Editor
This presentation provides an overview of why developers and businesses should want to build on the Microsoft platform. It is has been created to be used on its own or for you to use before you dive on more specific product or technical discussions.
Please send any feedback to platstory@Microsoft.com
Goal of slide: Transition to setting up the keynote, using 3 ambitions
TPs
Empowering every individual and organization is a bold ambition and has required us to push our platforms forward in bold new ways
We will create more personal computing – Windows 10 is a major step forward
We will reinvent productivity and business processes – Office is no longer a set of individual productivity apps – Office is a platform that enables a rich set of social/mobile experiences
We will build the intelligent cloud - in a world where devices will out number people and data is growing exponentially there is a huge opportunity to build intelligent cloud solutions
Never been a better time to be a part of the MS ecosystem as a dev
With that – want to welcome Scott Guthrie to show you more…
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Empower developers to reach their windows customers wherever they are and on whatever device they happen to be using.
They can now build one app that runs on everything from tiny IoT devices like sensors, to mobile phones and phablets. Productivity devices like the Desktop PCs and 2-in-1s. New and exciting hardware like the HoloLens. Living room devices like the Xbox. Or even the new Surface Hub in a meeting room.
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To make this ALL worthwhile for developers, we know we need to get Windows TEN to be BROADLY adopted In fact, our GOAL is that within TWO to THREE years of Windows 10’s release, there will be ONE BILLION devices running Windows 10
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So we made Windows 10 available as a FREE upgrade for first year – EASY for consumers & businesses to move QUICKLY
With Windows 10, the Universal Windows Platform now let’s your reach the entire family of Windows devices
We’ve made improvements across the board for developers.
It’s now easier to design, develop, and debug your app!
Today, Windows runs on the intel-based Minnowboard Max and the Broadcom ARM-based Raspberry Pi 2. The Raspberry Pi 2, in particular, has world-wide recognition as an excellent low-cost maker and industry board for IoT.
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We offer a full range of solutions covering everything from large industrial embedded computers all the way down to tiny microcontrollers. All of these include great support for both local device access as well as integration with Azure services. In the maker community, we've seen significant interest in Arduino and Raspberry Pi. In particular, making Windows available for free on the very popular Raspberry Pi 2 has [Casey to provide some cool details/metrics].
My first story is about connected cows. Yes, you heard me right. There is such a thing as cloud connected cows. It is a story about all the sexy buzzwords of today - the internet of things, cloud services, data and analytics. It's a sexy story. But it's also about down to earth, simple innovations that revolutionize even some of the oldest industries in the world such as farming. And as you will see it's also about clever ideas and human ingenuity.
So these are the connected cows we’re talking about. Notice the pedometers on their legs. They are connected to WiFi. They are sending data into Microsoft’s Azure Cloud about the number of steps the cow is taking. Constantly. Every step from every cow in the dairy farm is being counted. It's Fujitsu's GyuHo - "Cow Step" - service in the cloud.
Do cows also need to take 10,000 steps a day?
But before I give you the answer, let's take a step back. These days, every company is a data company, even the ones you least expect. Even dairy farms. Farms have all the constraints of a typical business. Their output is milk and beef. They need to maximize that output under the constraint of the fixed assets they have - the cow herd, the pasture, and the facilities. They need to reduce loss due to disease, and maximize the efficiency of farm labor, which btw, turns out to be expensive.
Think of Joe the dairy farmer. What can he do? Here are a couple of things Joe can do. First, he can prevent loss of animals due to disease - detect early, vaccinate and so on. Second, to maximize output, he can maximize calf production by accurate detection of estrus. If you remember high school biology, estrus is the scientific word for when an animal goes into heat and is ready to mate. Being in the mood, so to speak. When the magic is ready to happen. This turns out to be very leveraged as you'll see. But as with all things on this subject it turns out to be harder than it looks. What is Joe to do to detect when the time is right for hundreds of cows? It's a real heat in the haystack problem.
To see how important accurate estrus detection is, let's look at data from a research paper. These days, with Artificial Insemination, conception rate is typically at 70%. But only if you detect estrus accurately does it work. When you multiply the two probabilities together, you see the effect - at 55% estrus detection rate, which by normal methods is good, you get a 39% probability of calf production. At 95% detection rate, you get 67%, almost 70% improvement over baseline.
But can you detect at 95% accuracy? It turns out to be hard.
Estrous lasts only 12-18 hours and like in the case of many mammals it turns out to be mostly between 10pm and 8am. When Joe and his farm hands have other things to do as well. Remember - he gets up at 5am in the morning, and is working his farm, feeding, cleaning, milking, and the hundreds of other tasks he has to do all day.
Could you use technology to monitor the dairy? Get a “heat map”?
Here's where human ingenuity steps in. A farmer in Japan asked our partner Fujitsu for help with this problem. Fujitsu consulted a university researcher. Based on some ingenious research that had already been published by then, they came up with a clever detection system. Something that was indeed 95% accurate for the detection of estrus. It's the hottest system for detecting heat.
This is that system. The Fujitsu GyuHo ("Cow Step") SaaS service on Microsoft Azure. Step count data from the pedometers on each cow are sent over WiFi and the internet to a service on Azure, which analyzes the data and produces alerts for the farmer.
It turns out there is a simple secret to detecting when a cow is in heat. You see, at the onset of estrus there is a marked increase in the number of steps a cow takes. Right - when the cow feels hot, she starts pacing furiously…. And you can detect this with a simple day over day comparison. This chart, courtesy of Fujitsu, illustrates this well. The X-axis is time of night. Y-axis is the number of steps taken. The lower line is the number of steps on a normal night by our sample cow. The upper line is the number of steps when the cow goes into estrus. The number of steps per hour just shot way up! It turns out that this signal is about 95% accurate for detection of heat, especially in a controlled environment such as the dairy farm. The optimal time for Artificial Insemination is 16 hours from the onset of estrus, for maximum conception rate. That is when AI meets AI.
So here's the table of actual experimental results from 11 farms over an 8 month period, courtesy of Fujitsu. On an average, they found a 12% increase in calves produced, with some farms as high as 31%. And these benefits do not count the labor savings for monitoring estrus, and the potential benefits of health monitoring of the animals.