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 & Dislexia
Context
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.
Medicinapredittivaeprescrittiva

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 utili
In 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.aspx
https://msdn.microsoft.com/en-us/library/dn905976.aspx
Cortana Intelligence gallery
https://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