data & the city - jorgen sandig - scyfer
TRANSCRIPT
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
3
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)
5
Smarter AI
AlphaGo (Google 2016)
Deep Blue Chess(IBM 1997)
6
State of the Art
7
Deep Learning▪ Programming▪ If this then that
▪ Lookup blabla
▪ 1 + 1 = 2
Learning• Give examples (data)
•
• Super human results8
Scyfer Ignites Intelligence in Business
9
With Scyfer
• 7% -> 4,5% error• 35% lower cost• better service
10
With Scyfer
• Inspection per cm2 • Root cause analysis
critical
minor
11
INPUT OUTPUT
With Scyfer
12
SETA:Smart Mobility
13
Traffic Sensors
15
Detection
16
Tracking
17
Recognition
18
Traffic Counts
19
Traffic Counts
20
Camera Data Fusion
21
Fusion
22
Scyfer B.V.Science Park 402
1098 XH [email protected]
Let’s Revolutionise Traffic Management Together