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Achieving 5 Nines
Business Process Reliability
With Barcodes
Michael Salzman,
VP Marketing
(408) 737-7092
sales@inliteresearch.com
2Copyright (c) Inlite Research 2013
Introduction
 All workflows rely on critical data to trigger and direct the workflow
• Examples: customer ID, page No, contract No, agent ID, name, address, date.
• These fields drive the indexing, routing or database updates in other applications
 Why barcodes are the solution
• Barcodes are optimized for recognition by computers
• They contain the most information in the least amount of space
 Best practices to achieve reliability
• Inlite’s nearly 20 years of experience can contribute to your success
• Follow along to learn how to create ultra reliable processes
 Misconceptions about barcodes
• There are many
• Don’t fall into the trap
3Copyright (c) Inlite Research 2013
Barcode Based Business Cycle
Barcoded
Document
Deliver
Email, Fax or
Paper Return
GenerateGenerate
OutgoingOutgoing
DocumentsDocuments
Scan
Image Files
Barcode
Reports
+
Image
Files
ProcessProcess
InboundInbound
DocumentsDocuments
Extract Critical Data
from Barcodes
Critical
Data
Business Application
Workflow
User / process
induced damage
4Copyright (c) Inlite Research 2013
Typical user questions
 What barcode to use?
• So many choices – Code 39, Code 128, PDF417, Data Matrix, UPC, 2of5,
 Where to put it?
• Top, bottom, sides, any open area, special zone ?
 How big to make it?
• Is it too small?
• It looks too big?
• Seems to fit – go with it
 Why can’t I read it?
 What is the impact of doing it wrong?
5Copyright (c) Inlite Research 2013
Critical Data in Workflows
 Accurate recognition of critical data drives reliable imaging workflows
 Why? Examples include:
• Waybill tracking numbers
• Faxed insurance applications need account numbers
• Legal documents use unique ID on each page to make sure all pages are present.
• Patient identification on medical forms
• Cover pages with unique batch or transaction code
• Smart forms contain multiple entry fields
 You definitely don’t want to read them wrong!!!
• That’s worse than not reading them at all
• But that’s what can happen with OCR
6Copyright (c) Inlite Research 2013
What is Reliability?
 Related to the number of failures to correctly read critical data from an image
• It is actually 100% minus the sum of those failures
 Typically expressed as a number of “9s”. For example:
• 1 failure out of 100 pages is 99% reliability – two 9s
• 1 failure out of 1,000 pages is 99.9% reliability – three 9s
• 1 failure out of 100,000 pages is 99.999% reliability – five 9s
 Customers who plunge into this process usually fail to achieve even 1 9
• Their error rates are often in the 20% or worse rate
• They think that this is “just the way it is”
 Wrong!!!
• Inlite strives for 5 9’s
• Inlite customers usually achieve 3 9’s or better
• That means 99.9% reliability
7Copyright (c) Inlite Research 2013
Cost of Low Reliability
 We all know that high reliability has a price.
• What about low reliability – what does it cost?
 Consider the impact of recovery from errors
• Interrupt workflow
• Find them in the stack and correct misfiles
• Rescan or Manual data entry
• Reorganize archives to remove error items
 How much can it cost?
• Let’s assume average of 5 minutes per item, $24/hr for the Tech
• Annual Cost of reprocessing shown below
Success Rate 90% 99% 99.9% 99.999%
Pages per day 1,000 $44,000 $4,000 $440 $4.4
10,000 $440,000 $44,000 $4,000 $44
100,000 $4,400,00 $440,000 $44,000 $440
8Copyright (c) Inlite Research 2013
Why barcodes?
 What alternatives exist to enter critical data?
• Human operator data entry
 Fairly reliable (with double key entry) but expensive.
 Offshore data entry presents security concerns.
 Very slow
• Optical character recognition (OCR)
 Low reliability
 Complex to setup and program
 Slow
• Barcodes
 Reliable (can achieve 99.999%)
 Inexpensive
 Fast
 The only purpose of barcodes is to reliably acquire critical data to drive a
business process
9Copyright (c) Inlite Research 2013
Major public domain symbologies
 1D – Code 39, Code 128 and others
 PDF417 - Logistics, ID cards, Driver Licenses
 DataMatrix - Postal Services, legal docs, Cover Pages
10Copyright (c) Inlite Research 2013
Common Applications
 Cover pages
• Batch separators for scanning
• Routing documents,
• e.g. expense reports, invoices
 Document (and page) identifiers
• Track each page of contract
 Document or Check security
• Encrypted, private data fields
 Inventory
• Reorder SKU’s,
• Refill prescriptions
 Smart Forms
• Barcodes carry multiple data fields
• Database on a sheet
11Copyright (c) Inlite Research 2013
Barcode Carries and Delivers Critical Data
 Reliability relates directly to the Error Rate of the communication system
• This is a general rule that applies to all communications
 Barcodes are simply one kind of communications technology to transfer data.
• Uses paper and ink to carry information
• Instead of electronic or radio signals
• Think of them as packets on paper
 The design of RELIABLE barcode system is an engineering process
• It is NOT a trial and error process
• It is not mysterious and magical
• It requires thinking about the whole system
12Copyright (c) Inlite Research 2013
Inlite’s Five Step Design Process
Identify barcode design and lifecycle requirements
Design robust barcode per requirements
Select barcode generator and reader.
• Reader should be able to read many “unexpected” barcodes
outside of design specification
Measure resilience using worst case workflow case
Monitor production process
• Adjust barcode generation and recognition for evolving
requirements
Barcode
Design
Barcode
Design
Component
Selection
Component
Selection
Performance
Evaluation
Performance
Evaluation
Requirements
Analysis
Requirements
Analysis
MonitoringMonitoring
ProductionProduction
13Copyright (c) Inlite Research 2013
Business Process Performance Requirements
 Specify maximum required data capacity
• How many characters of data do you need to use
 Identify available space for the barcode symbol
• Look for esthtetically acceptable, open areas on the form
• Stay away from signature areas, to reduce overwriting on
the barcode
 Determine volume and reliability targets
• How many documents will be printed
• How many will be scanned? By whom? How?
• What error rates can be tolerated?
Barcode GeneratorBarcode Generator
Barcode PrintingBarcode Printing
Document HandlingDocument Handling
Document ScanningDocument Scanning
Barcode RecognitionBarcode Recognition
Input DataInput Data
Output DataOutput Data
14Copyright (c) Inlite Research 2013
Process Requirements
 Printing Equipment and Processes
• Laser, Inkjet or Impact printers
• Resolution of the printer
• Ink spread measurements
 Type and quality of paper stock
• Background pattern
• Decorative border
• Carbon copies
 Handling
• Writing or stamping on symbol, bleed-through
• Dirt, smears, smudges, scuffs
• Creases, tears
 Scanning Equipment
• Scan settings (too dark/light, framing)
• Resolution too low
• Black & White, Grayscale, Color
• Fax (1 or 2 cycles, standard or fine)
Barcode GeneratorBarcode Generator
Barcode PrintingBarcode Printing
Document HandlingDocument Handling
Document ScanningDocument Scanning
Barcode RecognitionBarcode Recognition
Input DataInput Data
Output DataOutput Data
15Copyright (c) Inlite Research 2013
Barcode design
Design a barcode that satisfies performance requirements under the worst
case process scenario
 Specify barcode symbology:
• 1D (prefer Code 128 or code 93)
 Error detection is built in
• Prefer 2D barcodes: PDF417, DataMatrix
 Error correction provides resilience against damage
 Efficient use of space
 Specify barcode geometry:
• Size of barcode elements: bars, space or modules
• Shape, Row and Column count
 Specify barcode placement on a page
• Ensure proper distance from other elements (quiet zone)
• Account for printing tolerances
 Inlite’s Visual Barcode Designer enables the user to automatically design a
barcode correctly to meet these criteria
16Copyright (c) Inlite Research 2013
Components selection
Select barcode generation tools to:
• Generate barcodes within design specs
• Compensate for print and paper tolerances
 Stock and symbol interaction
 Print resolution
• Does the tool provide sufficient control of the design?
Select barcode recognition software to:
• Read the barcodes produced within design specs
• Compensate for expected deviations in high-volume
production environment:
 Printer runs low on ink.
 Barcode too light or too dark
 Barcode is distorted
 Stamp imprint on a top of barcode.
 Barcode is damaged.
 Barcode printed out of tolerance.
 Quiet zone violations
Barcode GeneratorBarcode Generator
Barcode PrintingBarcode Printing
Document HandlingDocument Handling
Document ScanningDocument Scanning
Barcode RecognitionBarcode Recognition
Input DataInput Data
Output DataOutput Data
17Copyright (c) Inlite Research 2013
Design Evaluation
 Measure resilience of the design to assess its survivability under adverse
conditions.
 Stress test methodology
• Produce barcode images using worst case scenarios (Printing, handling, scanning)
• 100-300 images suffice
• Evaluate ability to read these barcodes.
• Identify failure modes
• Iteratively improve design
 Resilience margin analysis for 2D barcodes
• Measure resilience margin
 Correctable error budget
 difference between maximum number errors that can be corrected and actual number of
corrected errors
• Optimize design to increase resilience margin
 Inlite Research provides consulting services to perform these functions
18Copyright (c) Inlite Research 2013
Barcode Resilience Margin
 Example of several barcode designs with the same capacity, similar geometry, similar
area.
 All of these barcodes allow for maximum of 15 correctable errors.
 All of these barcodes are successfully read by the same reading engine.
0 2 4 6 8 10 12 14 16
Inlite Test4
Inlite Test2
Inlite Test3
Inlite Test1
X1
X2
X3
X4
X5
X6
Error Count
Resilience Margin
Max Correctable is 15
These symbols are actually
no bigger than the ones below
No margin left
Current Reality
How barcodes are used in
Imaging
20Copyright (c) Inlite Research 2013
Multiple challenges
 Most software developers have expertise in other areas, such as IT
• Lack familiarity with barcode issues
• When problem reading barcodes is encountered, they fail to identify causes and
develop remedies
 Vendors deliver partial one sided solutions
• Barcode generators and labeling solutions
• Image Capture devices (scanners, fax)
• Barcode recognition products
• Printing vendors
 Variability of real-life process requirements
• No one-fits-all solution exits
21Copyright (c) Inlite Research 2013
How do you capture images?
Web cam
Hot Dog
Low cost fax
Desktop Scanner
Check Scanner
High Speed
Check Scanner
Digital Mailroom
Production Scanners
MFP
Low volume
scanner
Cell
Phone
22Copyright (c) Inlite Research 2013
Today’s Methodology: Trial and Prayer
 Users generally select components based on
• Price
• Ease of use in their application
• Stumble on advertisement, etc.
 Do some testing
• Print few pages with barcodes OR
• find some barcodes (on vendor demo sites)
• Simulate damage, e.g. distort with Photoshop
• Run few tests on a dozen or so documents
 Put system together and pray that it works in production
23Copyright (c) Inlite Research 2013
What are the results?
 System works.
• It often does
• Due to inherent reliability of barcodes and
• Low level system requirements
• Do you know where the failure limits lie?
 System does not work
• Contact components supplier – some may answer, most don’t know better
• Good supplier might provide useful advice
• Are you fixing the “broke” part of the system?
• Or tinkering?
24Copyright (c) Inlite Research 2013
What’s wrong with these barcodes?
 All of these barcodes “look good”
 Eye cannot detect distortions that affect readability of barcode, e.g.
• Barcodes loaded from internet pages.
• Look like barcode, scaled down to fit Web page.
 Magnified images shows poor printing or scanning quality (in this case)
 Incorrect barcode generator almost impossible to identify visually
25Copyright (c) Inlite Research 2013
Barcode Scanner vs Image Recognition
 Barcode Scanner vs Imaging Scanner
• Barcode scanner has optics and specialized analysis hardware specifically designed
for a single task - reading barcodes
• Imaging scanners are general purpose devices
 not designed or configured for reading barcodes
 Scanning process
• Barcode scanner keeps scanning till it succeeds
• With imaging – there is just “the” one image
 No retries – read once and make it work
 Success depends on the capability of recognition software to read
substandard images
 This is why it is important to use ClearImage Engines – the leading recognition
engines in the industry
26Copyright (c) Inlite Research 2013
Inlite Products for the Business Cycle
 Inlite offers engines for developers
• Tight integration into the user application
• ClearImage engines for Image Processing and Barcode Recognition
• Barcodes For Documents Runtine engine for barcode creation
• Support any windows based development environment and language
• Source code examples
 Inlite Applications automate the business cycle without programming
• Many configuration possibilities
• Powerful built in functions
• Simple integration
• No change to existing applications
27Copyright (c) Inlite Research 2013
Using Engines to Tightly integrate Businss Cycle
Visual
Barcode
Designer
Barcodes for
Documents
Runtime Engine
Your
Application
Barcoded
Document
Barcode
Specification
ClearImage
Engines
Your
Application
28Copyright (c) Inlite Research 2013
Inlite Applications Automate Business Cycle
ABC
PDFPDF
ImprintImprint
Legacy
Output
Use data from
document to
create barcodes
Barcoded
Output
GenerateGenerate
OutgoingOutgoing
DocumentsDocuments
BarcodeBarcode
DirectorDirector
Scan
Image Files
Renamed
Image Files
Barcode
Reports +
ABC.pdf
DEF.pdf
ProcessProcess
InboundInbound
DocumentsDocuments

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Designing a Reliable Barcode based Business Process

  • 1. Achieving 5 Nines Business Process Reliability With Barcodes Michael Salzman, VP Marketing (408) 737-7092 sales@inliteresearch.com
  • 2. 2Copyright (c) Inlite Research 2013 Introduction  All workflows rely on critical data to trigger and direct the workflow • Examples: customer ID, page No, contract No, agent ID, name, address, date. • These fields drive the indexing, routing or database updates in other applications  Why barcodes are the solution • Barcodes are optimized for recognition by computers • They contain the most information in the least amount of space  Best practices to achieve reliability • Inlite’s nearly 20 years of experience can contribute to your success • Follow along to learn how to create ultra reliable processes  Misconceptions about barcodes • There are many • Don’t fall into the trap
  • 3. 3Copyright (c) Inlite Research 2013 Barcode Based Business Cycle Barcoded Document Deliver Email, Fax or Paper Return GenerateGenerate OutgoingOutgoing DocumentsDocuments Scan Image Files Barcode Reports + Image Files ProcessProcess InboundInbound DocumentsDocuments Extract Critical Data from Barcodes Critical Data Business Application Workflow User / process induced damage
  • 4. 4Copyright (c) Inlite Research 2013 Typical user questions  What barcode to use? • So many choices – Code 39, Code 128, PDF417, Data Matrix, UPC, 2of5,  Where to put it? • Top, bottom, sides, any open area, special zone ?  How big to make it? • Is it too small? • It looks too big? • Seems to fit – go with it  Why can’t I read it?  What is the impact of doing it wrong?
  • 5. 5Copyright (c) Inlite Research 2013 Critical Data in Workflows  Accurate recognition of critical data drives reliable imaging workflows  Why? Examples include: • Waybill tracking numbers • Faxed insurance applications need account numbers • Legal documents use unique ID on each page to make sure all pages are present. • Patient identification on medical forms • Cover pages with unique batch or transaction code • Smart forms contain multiple entry fields  You definitely don’t want to read them wrong!!! • That’s worse than not reading them at all • But that’s what can happen with OCR
  • 6. 6Copyright (c) Inlite Research 2013 What is Reliability?  Related to the number of failures to correctly read critical data from an image • It is actually 100% minus the sum of those failures  Typically expressed as a number of “9s”. For example: • 1 failure out of 100 pages is 99% reliability – two 9s • 1 failure out of 1,000 pages is 99.9% reliability – three 9s • 1 failure out of 100,000 pages is 99.999% reliability – five 9s  Customers who plunge into this process usually fail to achieve even 1 9 • Their error rates are often in the 20% or worse rate • They think that this is “just the way it is”  Wrong!!! • Inlite strives for 5 9’s • Inlite customers usually achieve 3 9’s or better • That means 99.9% reliability
  • 7. 7Copyright (c) Inlite Research 2013 Cost of Low Reliability  We all know that high reliability has a price. • What about low reliability – what does it cost?  Consider the impact of recovery from errors • Interrupt workflow • Find them in the stack and correct misfiles • Rescan or Manual data entry • Reorganize archives to remove error items  How much can it cost? • Let’s assume average of 5 minutes per item, $24/hr for the Tech • Annual Cost of reprocessing shown below Success Rate 90% 99% 99.9% 99.999% Pages per day 1,000 $44,000 $4,000 $440 $4.4 10,000 $440,000 $44,000 $4,000 $44 100,000 $4,400,00 $440,000 $44,000 $440
  • 8. 8Copyright (c) Inlite Research 2013 Why barcodes?  What alternatives exist to enter critical data? • Human operator data entry  Fairly reliable (with double key entry) but expensive.  Offshore data entry presents security concerns.  Very slow • Optical character recognition (OCR)  Low reliability  Complex to setup and program  Slow • Barcodes  Reliable (can achieve 99.999%)  Inexpensive  Fast  The only purpose of barcodes is to reliably acquire critical data to drive a business process
  • 9. 9Copyright (c) Inlite Research 2013 Major public domain symbologies  1D – Code 39, Code 128 and others  PDF417 - Logistics, ID cards, Driver Licenses  DataMatrix - Postal Services, legal docs, Cover Pages
  • 10. 10Copyright (c) Inlite Research 2013 Common Applications  Cover pages • Batch separators for scanning • Routing documents, • e.g. expense reports, invoices  Document (and page) identifiers • Track each page of contract  Document or Check security • Encrypted, private data fields  Inventory • Reorder SKU’s, • Refill prescriptions  Smart Forms • Barcodes carry multiple data fields • Database on a sheet
  • 11. 11Copyright (c) Inlite Research 2013 Barcode Carries and Delivers Critical Data  Reliability relates directly to the Error Rate of the communication system • This is a general rule that applies to all communications  Barcodes are simply one kind of communications technology to transfer data. • Uses paper and ink to carry information • Instead of electronic or radio signals • Think of them as packets on paper  The design of RELIABLE barcode system is an engineering process • It is NOT a trial and error process • It is not mysterious and magical • It requires thinking about the whole system
  • 12. 12Copyright (c) Inlite Research 2013 Inlite’s Five Step Design Process Identify barcode design and lifecycle requirements Design robust barcode per requirements Select barcode generator and reader. • Reader should be able to read many “unexpected” barcodes outside of design specification Measure resilience using worst case workflow case Monitor production process • Adjust barcode generation and recognition for evolving requirements Barcode Design Barcode Design Component Selection Component Selection Performance Evaluation Performance Evaluation Requirements Analysis Requirements Analysis MonitoringMonitoring ProductionProduction
  • 13. 13Copyright (c) Inlite Research 2013 Business Process Performance Requirements  Specify maximum required data capacity • How many characters of data do you need to use  Identify available space for the barcode symbol • Look for esthtetically acceptable, open areas on the form • Stay away from signature areas, to reduce overwriting on the barcode  Determine volume and reliability targets • How many documents will be printed • How many will be scanned? By whom? How? • What error rates can be tolerated? Barcode GeneratorBarcode Generator Barcode PrintingBarcode Printing Document HandlingDocument Handling Document ScanningDocument Scanning Barcode RecognitionBarcode Recognition Input DataInput Data Output DataOutput Data
  • 14. 14Copyright (c) Inlite Research 2013 Process Requirements  Printing Equipment and Processes • Laser, Inkjet or Impact printers • Resolution of the printer • Ink spread measurements  Type and quality of paper stock • Background pattern • Decorative border • Carbon copies  Handling • Writing or stamping on symbol, bleed-through • Dirt, smears, smudges, scuffs • Creases, tears  Scanning Equipment • Scan settings (too dark/light, framing) • Resolution too low • Black & White, Grayscale, Color • Fax (1 or 2 cycles, standard or fine) Barcode GeneratorBarcode Generator Barcode PrintingBarcode Printing Document HandlingDocument Handling Document ScanningDocument Scanning Barcode RecognitionBarcode Recognition Input DataInput Data Output DataOutput Data
  • 15. 15Copyright (c) Inlite Research 2013 Barcode design Design a barcode that satisfies performance requirements under the worst case process scenario  Specify barcode symbology: • 1D (prefer Code 128 or code 93)  Error detection is built in • Prefer 2D barcodes: PDF417, DataMatrix  Error correction provides resilience against damage  Efficient use of space  Specify barcode geometry: • Size of barcode elements: bars, space or modules • Shape, Row and Column count  Specify barcode placement on a page • Ensure proper distance from other elements (quiet zone) • Account for printing tolerances  Inlite’s Visual Barcode Designer enables the user to automatically design a barcode correctly to meet these criteria
  • 16. 16Copyright (c) Inlite Research 2013 Components selection Select barcode generation tools to: • Generate barcodes within design specs • Compensate for print and paper tolerances  Stock and symbol interaction  Print resolution • Does the tool provide sufficient control of the design? Select barcode recognition software to: • Read the barcodes produced within design specs • Compensate for expected deviations in high-volume production environment:  Printer runs low on ink.  Barcode too light or too dark  Barcode is distorted  Stamp imprint on a top of barcode.  Barcode is damaged.  Barcode printed out of tolerance.  Quiet zone violations Barcode GeneratorBarcode Generator Barcode PrintingBarcode Printing Document HandlingDocument Handling Document ScanningDocument Scanning Barcode RecognitionBarcode Recognition Input DataInput Data Output DataOutput Data
  • 17. 17Copyright (c) Inlite Research 2013 Design Evaluation  Measure resilience of the design to assess its survivability under adverse conditions.  Stress test methodology • Produce barcode images using worst case scenarios (Printing, handling, scanning) • 100-300 images suffice • Evaluate ability to read these barcodes. • Identify failure modes • Iteratively improve design  Resilience margin analysis for 2D barcodes • Measure resilience margin  Correctable error budget  difference between maximum number errors that can be corrected and actual number of corrected errors • Optimize design to increase resilience margin  Inlite Research provides consulting services to perform these functions
  • 18. 18Copyright (c) Inlite Research 2013 Barcode Resilience Margin  Example of several barcode designs with the same capacity, similar geometry, similar area.  All of these barcodes allow for maximum of 15 correctable errors.  All of these barcodes are successfully read by the same reading engine. 0 2 4 6 8 10 12 14 16 Inlite Test4 Inlite Test2 Inlite Test3 Inlite Test1 X1 X2 X3 X4 X5 X6 Error Count Resilience Margin Max Correctable is 15 These symbols are actually no bigger than the ones below No margin left
  • 19. Current Reality How barcodes are used in Imaging
  • 20. 20Copyright (c) Inlite Research 2013 Multiple challenges  Most software developers have expertise in other areas, such as IT • Lack familiarity with barcode issues • When problem reading barcodes is encountered, they fail to identify causes and develop remedies  Vendors deliver partial one sided solutions • Barcode generators and labeling solutions • Image Capture devices (scanners, fax) • Barcode recognition products • Printing vendors  Variability of real-life process requirements • No one-fits-all solution exits
  • 21. 21Copyright (c) Inlite Research 2013 How do you capture images? Web cam Hot Dog Low cost fax Desktop Scanner Check Scanner High Speed Check Scanner Digital Mailroom Production Scanners MFP Low volume scanner Cell Phone
  • 22. 22Copyright (c) Inlite Research 2013 Today’s Methodology: Trial and Prayer  Users generally select components based on • Price • Ease of use in their application • Stumble on advertisement, etc.  Do some testing • Print few pages with barcodes OR • find some barcodes (on vendor demo sites) • Simulate damage, e.g. distort with Photoshop • Run few tests on a dozen or so documents  Put system together and pray that it works in production
  • 23. 23Copyright (c) Inlite Research 2013 What are the results?  System works. • It often does • Due to inherent reliability of barcodes and • Low level system requirements • Do you know where the failure limits lie?  System does not work • Contact components supplier – some may answer, most don’t know better • Good supplier might provide useful advice • Are you fixing the “broke” part of the system? • Or tinkering?
  • 24. 24Copyright (c) Inlite Research 2013 What’s wrong with these barcodes?  All of these barcodes “look good”  Eye cannot detect distortions that affect readability of barcode, e.g. • Barcodes loaded from internet pages. • Look like barcode, scaled down to fit Web page.  Magnified images shows poor printing or scanning quality (in this case)  Incorrect barcode generator almost impossible to identify visually
  • 25. 25Copyright (c) Inlite Research 2013 Barcode Scanner vs Image Recognition  Barcode Scanner vs Imaging Scanner • Barcode scanner has optics and specialized analysis hardware specifically designed for a single task - reading barcodes • Imaging scanners are general purpose devices  not designed or configured for reading barcodes  Scanning process • Barcode scanner keeps scanning till it succeeds • With imaging – there is just “the” one image  No retries – read once and make it work  Success depends on the capability of recognition software to read substandard images  This is why it is important to use ClearImage Engines – the leading recognition engines in the industry
  • 26. 26Copyright (c) Inlite Research 2013 Inlite Products for the Business Cycle  Inlite offers engines for developers • Tight integration into the user application • ClearImage engines for Image Processing and Barcode Recognition • Barcodes For Documents Runtine engine for barcode creation • Support any windows based development environment and language • Source code examples  Inlite Applications automate the business cycle without programming • Many configuration possibilities • Powerful built in functions • Simple integration • No change to existing applications
  • 27. 27Copyright (c) Inlite Research 2013 Using Engines to Tightly integrate Businss Cycle Visual Barcode Designer Barcodes for Documents Runtime Engine Your Application Barcoded Document Barcode Specification ClearImage Engines Your Application
  • 28. 28Copyright (c) Inlite Research 2013 Inlite Applications Automate Business Cycle ABC PDFPDF ImprintImprint Legacy Output Use data from document to create barcodes Barcoded Output GenerateGenerate OutgoingOutgoing DocumentsDocuments BarcodeBarcode DirectorDirector Scan Image Files Renamed Image Files Barcode Reports + ABC.pdf DEF.pdf ProcessProcess InboundInbound DocumentsDocuments

Notas do Editor

  1. Achieving 5 9's Reliability with Barcodes This is too abstract – we need better examples