Azure IoT Suite

Analyze and act

on new data

Integrate and transform

business processes

Connect and scale

with efficiency

Benefit from a comprehensive solution

And

more

Real-time

operating

systems

Device Registry

Rules and Actions

Analytics

Dashboards & Visualization

-20%On energy cost!

Cuts Setup Time

from Weeks to

Days

Technicians could

fix problems of the

equipment before

they arise

Supports Self-

Service Predictive

Analytics

“Robotic mosquito traps that identify and capture interesting mosquitoes in milliseconds”

“Drones that locate mosquito hotspots…and eventually place traps”

“Algorithms that detect known and unknown pathogens”

Optolexia: Linking Eye Movement & DislexiaContext

Dyslexia is a common neurodevelopmental disorder, that

causes difficulty with language acquisition and usage. “Although

dyslexia is not an eye movement problem, the children’s eye

movements while scanning text are a reflection of other

underlying cognitive processes. When dyslexic children are

reading, we can observe small eye movement differences that

indicate that they are not following the text in the usual way.”

Solution

Optolexia screening solution for dyslexia is a set of

analytical models, that quantify the eye movement

data and produce a numeric score, that is a

predictor of dyslexia risk. The tool uses a laptop,

tablet, or desktop computer with an eye tracker

mounted at the bottom. As a student reads text on

the screen, the tool projects an infrared pattern

toward the student’s face and the eye tracker

captures and analyzes reflections on the surface of

the cornea.

The data is sent to the Azure Machine Learning

engine in the cloud, which returns a numerical result

that identifies the likelihood that the student has

dyslexia. Azure offers also sufficient computing power,

storage capabilities, data security, ease of access.

Medicina

predittivae prescrittiva

Kinect HoloLens Assisted Rehabilitation Experience

Thank you- Jürgen Ambrosi <ambrosi@crui.it>

- Francesco Umiliaco <Francesco.Umiliaco@microsoft.com>

- Riccardo Trubiani <ritrubia@microsoft.com>Vi aspettiamo alla Sessione 5 l’8/11!

Link utiliIn allegato un approfondimento sugli algoritmi disponibili:

https://azure.microsoft.com/it-it/documentation/articles/machine-learning-algorithm-choice/https://msdn.microsoft.com/en-us/library/dn906033.aspx

Cliccando su ogni algoritmo si accede ad una schermata di approfondimento di questo tipo, con descrizione dettagliata di parametri input-output del modello:https://msdn.microsoft.com/library/en-us/Dn906022.aspxhttps://msdn.microsoft.com/en-us/library/dn905976.aspx

Cortana Intelligence galleryhttps://gallery.cortanaintelligence.com/

https://azure.microsoft.com/it-it/marketplace/certified-iot-partners/https://www.microsoft.com/it-it/server-cloud/internet-of-things/azure-iot-suite.aspx