AUTOMATIC DATA CAPTURE  a term to describe technologies which aim to immediately identify data with 100 percent accuracy.

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Presentation transcript:

AUTOMATIC DATA CAPTURE

 a term to describe technologies which aim to immediately identify data with 100 percent accuracy.

AUTOMATIC DATA CAPTURE  data is passed in real time to any computer system, with little or no human intervention and without the use of a keyboard.

AUTOMATIC DATA CAPTURE

► For a company, these features provide benefits such as : ► reduced labour hours ► reduced errors ► and accurate inventory records

TYPES OF AUTOMATIC DATA CAPTURE DEVICES ► Barcode readers ► a device used for machine scanning of bar codes ► consists of a scanner, a decoder, and a communications interface (monitor)

TYPES OF AUTOMATIC DATA CAPTURE DEVICES ► Barcode readers BARCODES BARCODE READER

TYPES OF AUTOMATIC DATA CAPTURE DEVICES ► Barcode readers ► Found in supermarkets, stores etc.

TYPES OF AUTOMATIC DATA CAPTURE DEVICES ► SMART CARDS ► smart cards are plastic cards the size of credit cards ► contain a microprocessor chip ► capable of both storing and processing data.

TYPES OF AUTOMATIC DATA CAPTURE DEVICES ► SMART CARDS

TYPES OF AUTOMATIC DATA CAPTURE DEVICES ► SMART CARDS ► Uses of smart cards include: ► storing and processing medical record information ► storing security passwords ► storing identification information

TYPES OF AUTOMATIC DATA CAPTURE DEVICES ► Optical Mark Reader - (OMR) ► A special scanning device ► Can read pencil marks on specially designed documents. ► OMR is frequently used in forms, questionnaires, and answer- sheets

TYPES OF AUTOMATIC DATA CAPTURE DEVICES ► Optical Mark Reader - (OMR)

TYPES OF AUTOMATIC DATA CAPTURE DEVICES ► Optical Mark Reader - (OMR) ► scans a printed form, reads positions and records where marks are made on the form. ► A common OMR application is the use of “bubble sheets” for multiple-choice tests used by schools.

TYPES OF AUTOMATIC DATA CAPTURE DEVICES Optical character recognition (OCR) involves reading text from paper translating the images into a form that the computer can manipulate

TYPES OF AUTOMATIC DATA CAPTURE DEVICES Optical character recognition (OCR)  An OCR system enables you to take a book or a magazine article  feed it directly into an electronic computer file  and then edit the file using a word processor.

TYPES OF AUTOMATIC DATA CAPTURE DEVICES Optical character recognition (OCR)

TYPES OF AUTOMATIC DATA CAPTURE DEVICES Optical character recognition (OCR) All OCR systems include an optical scanner for reading text, and software for analyzing images.

TYPES OF AUTOMATIC DATA CAPTURE DEVICES Magnetic Ink Character Recognition (MICR) character recognition system that uses special ink and characters

TYPES OF AUTOMATIC DATA CAPTURE DEVICES Magnetic Ink Character Recognition (MICR)  document contains this ink  document passes through a machine  The machine magnetizes the ink  then translates the magnetic information into characters. information into characters.

TYPES OF AUTOMATIC DATA CAPTURE DEVICES Magnetic Ink Character Recognition (MICR)

TYPES OF AUTOMATIC DATA CAPTURE DEVICES Magnetic Ink Character Recognition (MICR)  MICR technology is used by banks.  Numbers and characters found on the bottom of checks (the check number, sort number, and account number)  are printed using Magnetic Ink.

TYPES OF AUTOMATIC DATA CAPTURE DEVICES Sensors Sensors are often used as part of a feedback cycle. They collect data continuously and are typically linked to a control program that specifies acceptable levels, eg the minimum and maximum temperature in a green house. Sensors are often used as part of a feedback cycle. They collect data continuously and are typically linked to a control program that specifies acceptable levels, eg the minimum and maximum temperature in a green house.feedback cyclegreen housefeedback cyclegreen house

Home Work Write a short note on biometric systems: retina scans, finger print scan and palm scan

TYPES OF AUTOMATIC DATA CAPTURE DEVICES

Past Paper Question 1 May 2010 #3 May 2010 #3

Past Paper Question 2 Jan 2012 #3 (a) Jan 2012 #3 (a)

May 2011 #2 May 2011 #2

June 2009 #5 June 2009 #5

Jan 2009 Q 1 Jan 2009 Q 1