Scyfer introductionData & The City, Gemeente AmsterdamJörgen Sandig, CEO3-10-2016

Jörgen Sandig

Agenda

● Meeting Objectives

● Deep Learning

● Scyfer’s Projects

● SETA

2

Meeting Objectives

● Amsterdam Crowd Monitoring Project

● Scyfer SETA Project

● Discuss Routes for Collaboration

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Deep Learning: An Intelligent Revolution

4

An Intelligent Revolution

Self-Driving Cars (Multiple Manufacturers)

Live speech translation (Skype 2015)

Professional Go (Google 2016)

Winning Jeopardy(IBM 2013)

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Smarter AI

AlphaGo (Google 2016)

Deep Blue Chess(IBM 1997)

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State of the Art

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Deep Learning▪ Programming▪ If this then that

▪ Lookup blabla

▪ 1 + 1 = 2

Learning• Give examples (data)

•

• Super human results8

Scyfer Ignites Intelligence in Business

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With Scyfer

• 7% -> 4,5% error• 35% lower cost• better service

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With Scyfer

• Inspection per cm2 • Root cause analysis

critical

minor

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INPUT OUTPUT

With Scyfer

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SETA:Smart Mobility

13

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Traffic Sensors

15

Detection

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Tracking

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Recognition

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Traffic Counts

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Traffic Counts

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Camera Data Fusion

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Fusion

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Scyfer B.V.Science Park 402

1098 XH Amsterdaminfo@scyfer.nlwww.scyfer.nl

Let’s Revolutionise Traffic Management Together