© 2018 Cognex1

MACHINE VISION & BARCODE SYSTEMS FOR AN INDUSTRY 4.0 & IIoT WORLD

Rick Roszkowski | 2018

© 2018 Cognex2

Basics of Industry 4.0 and lloT Evolution of automation equipment The factory of the future Cognex-specific developments Q&A

TOPICS

© 2018 Cognex3

WHAT IS THE 4TH REVOLUTION?

© 2018 Cognex4

MANUFACTURING TRENDS

“Manufacturing inefficiencies that persist today are much greater at the system level,

rather than at the individual machine level.”

Shorter product life cycles Customized products, small batches Demand on quality

110101101011010110110000101001011001100001010011000010100101011111010110101101011011000010100101100110000101001100001010010101111101011010110101101100001010010110011000010100110000101001010111110101101011010110110001011101001010

110101101011010110110000101001011001100001010011000010100101011111010110101101011011000010100101100110000101001100001010010101111101011010110101101100001010010110011000010100110000101001010111110101101011010110110000101001011011

Devices & Assets

CloudInfrastructure Data Analytics Insights

© 2018 Cognex5

MODEL T3 CIRCA 2032

© 2018 Cognex6

REPLICANT CIRCA 2019

© 2018 Cognex7

REPLICANTS CLASS OF 2018

© 2018 Cognex8

INDUSTRY 4.0 PRODUCTIVITY GAINS

Engineering Machinery Big Data

SimulationCommon Architecture

ModularityWireless

CAD Enabled

MetadataCloud Computing

Advanced AnalyticsArtificial Intelligence

© 2018 Cognex9

INDUSTRY 4.0 MATURITY MODEL

© 2018 Cognex10

WHAT HAPPENS WHEN 50B MACHINES ARE CONNECTED?

© 2018 Cognex11

INDUSTRY 4.0 / IIOT ECOSYSTEM

Production Optimization

Data Acquisition

Analytics & Business Intelligence

Data Storage & Security

Supp

liers

Cus

tom

ers

InformationTechnology

Data Governance

OperationsTechnology

© 2018 Cognex12

IT – OT CONVERGENCE

IT

OT

Business SystemsTransactional

SecurePrivate

ERP MES

LogisticsCRM ….

OperationsReal Time

SafeResilient

MachinesControllers

Sensors…

Common Secure Network

© 2018 Cognex13

DATA GOVERNANCE

Policies & Standards

Establish Decision Rights

Compliance & Security

Assess Risk & Define Controls

Information Quality

Stewardship & Data Integrity

Architecture & Integration

Consistent Data Definitions

Technology & People

Data Driven Improvements

© 2018 Cognex14

PURDUE CIM REFERENCE MODEL

Manufacturing Operations ManagementDispatching, Detailed Production Management,Scheduling, Production Tracking

L3

L2

L1

Actual Production Process L0

Batch Production

Control

Continuous Production

Control

Discrete Production

Control

Business LogisticsPlant Production Scheduling, Shipping, Receiving,Inventory, etc.

L4

ANSI/ISA-95

© 2018 Cognex15

LNS RESEARCH MODEL1

Smart Connected Assets

IIoT Enabled Sensors, Instrumentation, Controls,Assets and Materials

L2 L1 L0

Smart Connected OperationsIIoT Enabled Production, Quality Inventoryand Maintenance

L3

IIot Enabled Business SystemsL4

IIot Enabled Governance & PlanningL5

IIot Enabled Next-Gen

Systems & Applications

Cloud (Big Data), Retail Inventory, Consumer Input

1 – Illustration derived from LNS Research Website

© 2018 Cognex16

MULTIPLE FRAMEWORKS

Industry 4.0 Standard OPC-UA (Unified Architecture)

Common Industrial Protocol (CIP)EtherNet/IP Framework

Industrial Internet ArchitectureData Distribution Services & HTTP

COMMON GOALS

Security Data Integrity Interoperability

© 2018 Cognex17

Security Local (if any) credentials Clear Text

Device specific data Asset management software

Vendor-specific protocols Multiple gateways

Active Directory server Group policies Encryption

Integrated audit trails Integrated historians Metadata

Extensible data model Edge gateways

TODAY vs. TOMORROW

Data Integrity

Interoperability

© 2018 Cognex19

COGNEX TECHNOLOGY EXAMPLES

© 2018 Cognex20

Easeof

Use

EDS FileSymbolic tags for control block dataRS-Logix version-specificinstallationAdded memory copy per program scanNo symbolic tags for user defined data section

Add-On ProfileSymbolic tags for control block dataRS-Logix version-independent installationNo memory copy per program scanNo symbolic tags for user defined data section

AOP (ADD-ON PROFILE VS. EDS)

Pre-EDS EDS AOP

© 2018 Cognex21

EDS VS. AOP INSTALL

AOP Installation

© 2018 Cognex22

No Symbolic Mapping of User Defined Data

WHAT ABOUT USER DATA AREA?

Array of Bytes ValueByte 0Byte 9Byte :Byte 2

PLC Sees

© 2018 Cognex23

Export XML File from ISE, Import into TIA Portal

<SW.Types.PlcStruct ID="0"><AttributeList><Interface><Sections xmlns="http://www.siemens.com/automation/Openness/SW/Interface/v1">

<Section Name="None"><Member Name="Acquisition_Time" Datatype="String”"></Member><Member Name="Job_Pass" Datatype="Bool"></Member><Member Name="Pattern_1_Pass" Datatype="Bool"></Member><Member Name="Distance_Pass" Datatype="Bool"></Member><Member Name="Angle_Pass" Datatype="Book"></Member><Member Name="Pattern_1_Fixture_X" Datatype="Real"></Member>

….

CONCEPT / PROTOTYPE

Export

PLC Sees

© 2018 Cognex24

SIEMENS TIA PORTAL SCREEN

© 2018 Cognex25

INDUSTRY 4.0 GOAL

User Adds Device

Query Camera for User Defined Type

Send UDT

User Modification

Send Change Message

Query Camera for User Defined Type

Alert User

Send Updated UDT

User OKs Change

Report Changes to Log File

© 2018 Cognex26

GX Works2 / 3Vendor-Specific IDE’s

Device Configuration

© 2018 Cognex27

IN-SIGHT VC200 HTML5 HMI

© 2018 Cognex28

COGNEX EXPLORER RTM

© 2018 Cognex29

NO READ IMAGE HISTORY

© 2018 Cognex30

Why “AI” Matters

Human-like Bio-inspired tools able to differentiate objects Outperforms the best quality inspectors

Self-Learning No custom software development Uses good and bad images for training

Powerful Solves hard or even impossible programming tasks Automatically distinguishes without expert analysis

© 2018 Cognex31

OPTICAL CHARACTER RECOGNITION

images courtesy by SMS Concast AG, Zürich

© 2018 Cognex32

OPTICAL CHARACTER RECOGNITION

© 2018 Cognex33

BONE SEGMENTATION

© 2018 Cognex34

SEAL INTEGRITY

© 2018 Cognex35

Industry 4.0 and IIoT Common overarching goals “Data model” more important than communication protocols Vendor-specific initiatives will continue

Information Technology and Operational Technology Convergence towards a secure common network More peer-to-peer communications “Data Governance” is essential

Essential Tools Machine vision systems & vision based bar code readers Prolific data produces for quality and traceability demands

SUMMARY

© 2018 Cognex36

THANK YOU!