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Introduction to AutoID

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Title: Introduction to AutoID


1
Introduction to Auto-ID
  • DISC 4397
  • University of Houston
  • Bauer College of Business
  • Spring 2006

2
What is Identification?
  • Identification noun U 1 when you
    recognize and can name someone or something

3
Why do we need Identification?
  • Dealing with human inefficiencies
  • Limited Memory
  • Making errors is natural for humans

4
Ancient Egypt
  • Khasekem, an administrator under the Pharaoh
    Khaefre, was responsible for distributing food
    among 100,000 men
  • Fraud was common some workers would attempt to
    receive a daily food allowance several times
  • Khasekem developed a system for identifying each
    of the workers

5
Introduction to Auto-ID
  • What is Auto-ID?
  • Automatic Identification (Auto-ID) a group of
    technologies that are used to help machines
    identify objects, humans, or animals
  • Auto-identification is also referred to as
    automatic data capture
  • Companies want to identify items, capture
    information about them and get the data into a
    computer without having employees to type it in

Source Auto-ID Center
6
Auto-ID Technologies
7
Advantages of Auto-ID
  • Increased efficiency
  • Barcode systems are 5 times quicker than manual
    identification
  • Barcodes systems decrease information asymmetry
    the technology enables instant conversion from
    physical action into digital transaction
  • Improved Data Accuracy
  • Barcode systems are commonly achieving 99
    accuracy (Zebra Technologies, 2002)
  • Better utilization of resources

8
Barcode Systems
9
The History of Barcodes
  • In 1949, N.J. Woodward filed a patent for a
    series of circular symbols. These symbols were to
    be placed on every item in a retail supermarket
    for the purpose of improving productivity and
    automating the checkout process
  • In 1973, the grocery industry set standards for
    product identification. The end result was the
    UPC (Universal Product Code), a 12-digit number
    unique to each product. An organization was set
    up to oversee the standard

Source Bar Code Basics, 2005
10
The History of Barcodes
  • In 1976 EAN (European Article Numbering) barcode
    system was created on an international scale
  • EAN was derived from UPC
  • EAN-13 contains 13 digits (one digit longer then
    UPC). The extra digit was introduced to
    accommodate country codes
  • UPC became the sub-standard of EAN
  • EAN is the most popular barcode standard today

Source Bar Code Basics, 2005
11
Barcode System Architecture
12
How Barcodes Work Encoding
  • Barcodes encode information similar to
    International Morse Code __ . __
  • Interleaved 2 of 5 symbology
  • 3 8

Source Barcodebook, 2005
13
How Barcodes Work Encoding
  • A barcode technology can be
  • Numeric (numbers only) / alphanumeric (numbers
    and symbols (letters and special characters))
  • Fixed length/variable length
  • Compact / not-so-compact

14
How Barcodes Work Decoding
Source Beginners Barcode, 2005
15
Symbologies
  • Symbology - a pattern of bars and spaces
    following specific standards
  • There are more than 300 symbologies
  • Less than 20 have popular applications
  • Usage of a particular symbology is determined by
  • Industry
  • Application
  • Product size

16
Symbologies UPC/EAN
  • The first popular barcode
  • Applications retail
  • Consists of
  • six-digit manufacturer ID
  • five-digit item number
  • check digit
  • EAN has one additional digit to identify country

17
UPC
In the UPC-A barcode, each digit is represented
by a seven-bit sequence, encoded by a series of
alternating bars and spaces. Guard bars, shown in
green, separate the two groups of six digits.
18
UPC 7 Bit Encoding Pattern
19
Symbologies Code 128
  • High-density code
  • Applications various industries
  • Alphanumeric
  • Variable length
  • Scanned bi-directionally
  • Can encode the entire 128 ASCII character set
    plus four non-data characters
  • Numeric data can be ecodedrepre-sented in a
    double-density mode. It uses less space to encode
    six characters than any other linear technology.

20
Symbologies Code 39
  • Code 39 is probably the most widely used
    symbology after the UPC/EAN
  • Applications various industries
  • Department of Defense (DoD)
  • General Services Administration (GSA)
  • Automotive Industry Action Group (AIAG),
  • Health Industry Business Communication Council
    (HIBC).
  • Alphanumeric
  • Data of any length
  • It works with the greatest selection of printers
    and scanners.

21
Symbologies Interleaved 2 of 5
  • Popular in warehouse applications
  • Variable-length
  • Numeric-only code
  • Compact data is encoded in pairs of bars and
    spaces
  • This also guarantees there are always an even
    number of digits
  • A check digit is optional.

22
Symbologies - The US Postal Service Code
  • The US Postal Service Code is not classified as a
    linear symbology
  • It is based on bar height encoding
  • It can encode
  • a five-digit (32 bars) ZIP code
  • a nine digit ZIP 4 Code (52 bars)
  • an 11-digit delivery point code (62 bars).

23
Symbologies - Codabar
  • An older technology
  • Application was used initially in libraries,
    blood banks, parcel delivery service
  • Is not commonly used nowadays
  • Codabar uses a total of 18 widths for bars
    instead of the common wide and narrow element
    widths to encode the logic 1s and 0s in the
    characters.

24
Symbologies MSI Plessey
  • Numeric
  • Developed in England
  • Application grocery, library shelf labeling
  • Pulse-width modulated
  • No check digit

25
Symbologies Code 93
  • Encodes the same characters as Code 39
  • Uses 9 bar code elements per character instead of
    15 ? more compact

26
Symbologies - Maxicode
  • Created by UPS for high-speed sortation and
    tracking of unit loads and transport packages
  • Ideal for applications where
  • the label is on a moving package
  • label orientation is random
  • space is limited
  • scanner is placed so a large view of the package
    is taken
  • Compact 100 characters of data in 1 square inch.
  • The symbol is composed of a central bull's eye
    surrounded by an array of 866 black hexagonal
    shapes
  • The bull's eye helps the scanner locate the code
    regardless of its orientation.
  • MaxiCode is 15 denser than square dot codes and
    can be read by a scanner even if 25 of the code
    is damaged
  • It can be read by either CCD or laser scanners,
    but must be printed by high-resolution printers
    such as thermal transfer ones
  • Built-in error correction is part of the code.

27
Symbologies PDF 417
  • Applications for large amount of information on
    a document
  • DoD
  • Electronics industry
  • Healthcare
  • Logistics
  • Manufacturing
  • Drivers license cards and for national ID cards
  • A single PDF417 symbol carries up to 1.1
    kilobytes of data
  • Up to 50 of the symbol can be destroyed

28
Symbologies Code 49
  • Compact
  • Continuous, variable-length symbol
  • Can encode the full ASCII character set

29
Symbologies Data Matrix
  • Designed for small parts
  • Electrical parts
  • Pharmaceutical industry
  • Highly reliable
  • Data is scattered
  • Allows for low-quality printing

30
Symbologies Datastrip
  • Created by Softstrip Systems to publish software
    in books and magazines in a machine-readable form
  • Application used for printing information on ID
    cards and passports
  • Dimensions usually 0.75 inches by 3 inches
  • This area can store 2,100 bytes of information.

31
Symbologies Reduced Space Symbol (RSS)
  • The principle use of the RSS family of
    symbologies is to identify items that could not
    be marked with current linear symbols because of
    size restrictions
  • It is to be used with UCC/EAN and can be stacked
    in two rows.

32
Additional Considerations
  • Lower density for better performance
  • Element ratio
  • Carbon-based ink
  • Environment
  • Numbering scheme

33
Smart Cards
34
Smart Cards
  • Smart cards are a means of identification that
    relies on transferring some of the identification
    tasks performed by the server to the client side
  • Smart cards are, essentially, tiny computers

35
Smart Cards Types of Cards
  • 1. Contact Smart Cards
  • 2. Contactless Smart Cards
  • No physical contact is required between a card
    and a reader
  • RFID

36
Smart Cards Types of Cards
  • 1. Memory Cards
  • Though referred to as smartcards, memory cards
    are typically much less expensive and much less
    functional than microprocessor cards
  • They contain EEPROM and ROM memory, as well as
    some address and security logic
  • Typical memory card applications are pre-paid
    telephone cards and health insurance cards.

37
Smart Cards Types of Cards
  • 2. Microprocessor Cards
  • Components of this type of architecture include a
    CPU, RAM, ROM, and EEPROM
  • The operating system is typically stored in ROM,
    the CPU uses RAM as its working memory, and most
    of the data is stored in EEPROM

38
Smart Cards Types of Cards
  • Architecture of Microprocessor Cards

39
Smart Cards Types of Cards
  • Cryptographic Coprocessor Cards
  • Because the common asymmetric cryptographic
    algorithms of the day (such as RSA) require very
    large integer math calculations, an 8 bit
    microprocessor with very little RAM can take on
    the order of several minutes to perform a 1024
    bit private key operation
  • However, if a cryptographic coprocessor is added
    to the architecture, the time required for this
    same operation is reduced to around a few hundred
    microseconds
  • The addition of a cryptographic coprocessor can
    increase the cost of todays smart cards by 50
    to 100

40
Smart Cards Physical and Electrical Properties
41
Smart Cards Physical and Electrical Properties
Electrical Contacts
42
Smart Cards Physical and Electrical Properties
43
Biometric Systems
44
Biometrics
  • Biometrics - a method of recognizing people based
    on unique physical or behavioral characteristics
  • Biometrics - person-identification techniques
    based on such difficult-to alienate
    characteristics as appearance (how a person
    looks), social behavior (how the person interacts
    with others through e.g., voice, body gestures),
    bio-dynamics (e.g., manner in which a signature
    is written, key-stroke dynamics), natural
    physiography (e.g., skull measurement,
    fingerprints sets), and imposed physical
    characteristics (e.g. microchips implanted under
    skin)

45
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46
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47
Some promising biometric technologies
  • Instant DNA testing
  • Brain wave scanning
  • P300

48
Optical Character Recognition (OCR)
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