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2017-11-06

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Ensure 100% Traceability and
Quality of Your Products using
Omron Microscan
Automatic Identification and
Machine Vision Systems
Presenter: Steven J. King – Machine
Vision Product Manager
Date: Oct 26, 2017

© Microscan Systems Inc.

Agenda
▪ Automatic Identification and Machine Vision Tool Set
▪ Traceability
▪
▪
▪
▪

Automatic ID Code Types
Code Marking Methods
Code Reading
Code Verification

▪ Machine Vision Inspection
▪
▪
▪
▪
▪
▪

Presence/Absence
Color ID/Color Match
Count
Measurement/Gauging
Assembly and Assembly Verification
Defect Detection

© Omron Microscan Systems Inc.

2

AutoID and Machine Vision Basic Toolset
Presence/
Absence
Read
Codes

Verify
Code
Quality

Locate

Read
Text

Verify
Text
Quality

Count

Color
Detect

Measure

Logic

© Omron Microscan Systems Inc.

3

Traceability

Blade Runner Trivia –
Who made the Replicant snakes?

▪ Strategy
• Mark all parts with codes
• Enables automation
• Build a complete manifest
of what goes into a product
• Track from cradle to grave

▪ Requirements
•
•
•
•

Marking
Mark quality verification
Reading
Data recording

Abdul Ben Hassan
© Omron Microscan Systems Inc.

4

Code Marking Types
▪ Human Readable Codes

▪ Machine Readable Codes

Highest read reliability

• 1D Bar Codes

• 2D Symbologies

© Omron Microscan Systems Inc.

5

Traceability

© Omron Microscan Systems Inc.

6

Traceability
▪ Track
▪ In house
▪ Part tracking
▪ Process control

▪ Process optimization

▪ Trace
▪ Part Genealogy
▪ Defective Part Tracking
▪ Spill Containment
▪ Selective Recalls
▪ Anti Diversion
▪ Counterfeit Prevention

▪ Nabbing replicants
© Omron Microscan Systems Inc.

7

Code Marking Methods
▪ Labels – Ink Jet, Laser, Thermal

▪ Direct Part Marks – Laser, Dot Peen, Ink Jet

© Omron Microscan Systems Inc.

8

Direct Part Mark Application Examples

© Omron Microscan Systems Inc.

9

Automotive Applications
▪ Engine component traceability
• Head and block traceability
• Assembly error proofing
• Selective pairing of components

▪ Transmission components
traceability
▪ Fuel injector traceability
▪ Catalytic converter traceability
▪ PCB traceability
▪ Final assembly and WIP verification

© Omron Microscan Systems Inc.

10

Code Readers
▪
▪
▪
▪

Handheld label reader – HS 21
Handheld DPM (Direct Part Mark) reader – Mobile Hawk
Fixed mount label and DPM reader – MicroHAWK ID20, ID30, ID40
Fixed mount vision system with reading – MicroHAWK MV, HAWK MV

HS-21

Mobile Hawk

MicroHAWK ID Reader
MicroHAWK/HAWK MV
© Omron Microscan Systems Inc.

11

AutoID and Machine Vision Basic Toolset
Presence/
Absence
Read
Codes

Verify
Code
Quality

Locate

Read
Text

Verify
Text
Quality

Count

Color
Detect

Measure

Logic

© Omron Microscan Systems Inc.

12

Code Verification – Check the handwriting

Frequency

▪ Marking processes drift from nominal
settings ultimately leading to unreadable
marks
▪ Verification allows adjusting of marking
process before unreadable marks are
made
▪ Verification is metrology tool to ensure
consistent mark quality
▪ Verifier can tell not only that mark is
readable but also how close it is to edge
of readability that it is

Measurement value
© Omron Microscan Systems Inc.

13

Code Verification
▪ Offline or Inline symbol verification
▪ Verify or validate the symbol immediately after printing
▪ Deviate from the standards if process or circumstances require
▪ Provide results that correlate directly with ISO standards
▪ Verification ensures that EVERY product ships with a good quality symbol despite
the fact that every marking system will degrade over time

Without verification, some “bad”
parts escape into the process

With verification, we prevent bad
marks from ever being made.
© Omron Microscan Systems Inc.

14

ISO15416 - 1D Label Verification
▪ ISO 15416
• 1D on Labels
• Requires even
illumination
• Requires good
lens with high
MTF

© Omron Microscan Systems Inc.

15

ISO15415 - 2D Label Verification
▪ ISO 15415
• 2D on Labels
• Requires even
illumination
• Requires good
lens with high
MTF

▪ Modulation

© Omron Microscan Systems Inc.

16

ISO 29158 - 2D DPM Verification
▪ ISO 29158
• Direct Part Marks
• More forgiving spec
• Requires application
specific lighting

© Omron Microscan Systems Inc.

17

Verification Example: Inkjet on cartons
▪ Direct inkjet printing is economical
▪ But the results are not always pretty
▪ No reads at big retail customers result in fines for each
unreadable code

▪ Inline verification after printing ensures NO bad symbols ship

© Omron Microscan Systems Inc.

18

Code Verifiers
▪ Offline
• Handheld label and DPM verifier –LVS-9580, LVS 9585
• Desktop Verifier – LVS-9510

▪ Inline
• Fixed mount inline verifier – MicroHAWK MV, HAWK MV-4000

LVS-9580, LVS 9585

LVS-9510

MicroHAWK, HAWK MV
© Omron Microscan Systems Inc.

19

Code Verification at the printing source

© Omron Microscan Systems Inc.

20

Optical Character Verification
▪ Show and Go Tool - Validate printed text by training on a good sample
▪ Detects common printing problems and provides pass/fail output

▪ Symbols are compared against trained golden symbol

▪ Symbols are rejected if the total residue exceeds the set tolerance
▪ Optional tests for Largest single defect, character breaks, contrast, and blurriness
© Omron Microscan Systems Inc.

21

Optical Character Verification - Example
Pad Printing
OCV on ICs

© Omron Microscan Systems Inc.

22

AutoID and Machine Vision Basic Toolset
Presence/
Absence
Read
Codes

Verify
Code
Quality

Locate

Read
Text

Verify
Text
Quality

Count

Color
Detect

Measure

Logic

© Omron Microscan Systems Inc.

23

Full Machine Vision Smart Cameras – MicroHAWK MV

© Omron Microscan Systems Inc.

24

Brand New High Performance Camera

HAWK MV-4000
▪ 8 Models
▪ MV-4000-03, Mono, 0.3 MP
▪ MV-4000-03C, Color, 0.3 MP
▪ MV-4000-13, Mono, 1.3 MP
▪ MV-4000-13C, Color, 1.3 MP
▪ MV-4000-20, Mono, 2.0 MP
▪ MV-4000-20C, Color, 2.0 MP
▪ MV-4000-50, Mono, 5.0 MP
▪ MV-4000-50c, Color, 5.0 MP

© Omron Microscan Systems Inc.

25

HAWK MV-4000 Light Kits

© Omron Microscan Systems Inc.

26

Presence/Absence of Critical Parts and Features
▪ Count Pixels
• Within range of
grayscale intensity
• Edge pixels
(brightness
invariant)

▪ Tolerance
• Compare count to
min and max values

▪ Output
• Pixel count
• Pass/Fail

© Omron Microscan Systems Inc.

27

Presence/Absence using Color
▪ Color ID
• Determine color
from library of
colors

▪ Color Check
• Compare color to
one specific color

▪ Tolerance
• Compare pixel
count to min values

▪ Output
• Color
• Count of pixels
• Pass/Fail

© Omron Microscan Systems Inc.

28

Count
▪ Locate features
• Shape based

▪ Tolerance
• Compare count
to min and max
allowed values

▪ Output
• Count
• Locations

© Omron Microscan Systems Inc.

29

Count
▪ Locate features
• Blob based
• Select based on
min and max
size of blob

▪ Tolerance
• Compare count
to min and max
values

▪ Output
• Count
• Locations

© Omron Microscan Systems Inc.

30

Measurement
▪ Locate features
•
•
•
•

Lines
Points
Circles
Patterns

▪ Measure
• Line to Line
• Point to Point
• Point to Line

▪ Calibration
• Convert pixels to
real world units

▪ Tolerance
• Compare to min
and max values

▪ Output – OK/NG
© Omron Microscan Systems Inc.

31

Location and Guidance
▪ Train a pattern
▪ Return X, Y, Theta
▪ Add encoder based
offset for “pickup
down the belt”

▪ Intellifind Tool
•
•
•
•
•

Edge Based Pattern Matching
Allows 360 degree rotation
Allows scale changes
Lighting invariant
Finds patterns amongst clutter
© Omron Microscan Systems Inc.

32

Assembly
▪ Train pattern of points on
each part
▪ Compute offset of part 1
to blueprint
▪ Compute offset of part 2
to blueprint
▪ Compute offset part 1 to
part 2
▪ Output X, Y, Theta to
assemble part 1 onto
part two
▪ Uses “rigid body fit”
algorithm

© Omron Microscan Systems Inc.

33

Defect Detection
▪ Often difficult – Defects similar in size and shape to allowed features
▪ Highly dependent on lighting to create contrast

© Omron Microscan Systems Inc.

34

Defect Detection – Lighting Dependency

© Omron Microscan Systems Inc.

35

Defect Detection – Using OCV
▪ OCV is not just for
characters
▪ OCV can be used for
individual shapes or
symbols
▪ OCV computes
difference between
trained and
inspected shape
▪ OCV combined with
color checks is very
powerful

© Omron Microscan Systems Inc.

36

Wrap Up
▪ Modern Machine Vision Systems contain tools for
• Automatic Code Identification
• Code Verification
• Machine Vision

▪ Traceability is a Strategy that involves
•
•
•
•

Picking the correct code types
Picking the correct code marking methods
Code Reading
Code Verification

▪ Traditional Machine Vision is used for
•
•
•
•
•
•

Presence/Absence
Color ID/Color Match
Count
Measurement/Gauging
Assembly and Assembly Verification
Defect Detection

© Omron Microscan Systems Inc.

37

Last Trivia Question
▪ What is a Machine Vision Engineer’s favorite quote
from Blade Runner?

HAWK MV-4000
Coming in Dec 2017!

▪ I just do eyes!
© Omron Microscan Systems Inc.

38

Thank you!
For more information… visit booth number

www.microscan.com
Manuals, Software, Drivers,
Technical Publications, Knowledge Base

MicroscanCommunity
Blogs, Videos, Photos

helpdesk@microscan.com
Technical support

© Omron Microscan Systems Inc.

39

Thank You!

Any Questions?
Contact: Steven J. King
sking@microscan.com
www.microscan.com

© Microscan Systems Inc.



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