INTRODUCTION ABOUT OMR. INDEX  Concept/Definition  Form Design  Scanners & Software  Storage  Accuracy  OMR Advantages  Commercial Suppliers.

Slides:



Advertisements
Similar presentations
Collecting data Chapter 6. What is data? Data is raw facts and figures. In order to process data it has to be collected. The method of collecting data.
Advertisements

AQA INFO 1 SECTION 4 Selection & Use of Input devices and media tcowling 2009 from Mott, Leaming & Williams.
S CANNING D EVICES / D IRECT I NPUT D EVICES. O BJECTIVES State what is an automatic and direct input device List different types of direct input devices.
HARDWARE INPUT DEVICES ITGS. Strand 3.1 Hardware Input Devices Keyboards Pointing devices: Mice Touch pads Reading tools: Optical mark recognition (OMR)
Commercial Data Processing Lesson 2: The Data Processing Cycle.
Integrated Imaging and Document Management System Product Demonstration.
UNSD-ESCWA Regional Workshop on Census Data Processing in the ESCWA region: Contemporary technologies for data capture, methodology and practice of data.
Input to the Computer * Input * Keyboard * Pointing Devices
Lesson 4 Alternative Methods Of Input.
Data Input How do I transfer the paper map data and attribute data to a format that is usable by the GIS software? Data input involves both locational.
AUTOMATIC DATA CAPTURE  a term to describe technologies which aim to immediately identify data with 100 percent accuracy.
Input devices, processing and output devices Hardware Senior I.
UNSD-ESCWA Regional Workshop on Census Data Processing in the ESCWA region: Contemporary technologies for data capture, methodology and practice of data.
UNSD Census Workshop Day 2 - Session 6 Data Capture: Optical Mark Recognition Andy Tye – International Manager DRS are Worldwide specialists in data capture.
1 Introduction to Computers Day 2. 2 Input Devices Input devices are used to feed data and instructions to the computer systems.They consist of a range.
UNSD Census Workshop Day 2 - Session 6 Data Capture: Optical Mark Recognition Andy Tye – International Manager DRS are Worldwide specialists in Census.
Input devices are hardware components that enable users to interact with a computer. Without input devices, you would not be able to feed instructions.
INPUT DEVICES. KEYBOARD Most common input device for a computer.
 Optical Scanners Optical Scanners  Scanners Scanners  Electronic Tablet/Pen Electronic Tablet/Pen  Digital Camera Digital Camera  Webcam Webcam.
Note on Capacities 1000 (1024 = 2^10 ) bytes 1 Kilobyte 1KB
LESSON 2 Input and Output Devices
UNSD-ESCWA Regional Workshop on Census Data Processing in the ESCWA region: Contemporary technologies for data capture, methodology and practice of data.
Input, Chapter 4 ITSC 1401, Intro to Computers Instructor: Glenda H. Easter.
AS Module 2 Information; Management and Management and Manipulation or what to do with data, how to do it, and……... ensure it provides useful information.
Barcoding for control and profit! What barcoding is and how to make it work for you.
Input Devices Manual and Automatic By Laura and Gracie.
True OMR Second Darkest Mark Detection For Erasure Analysis.
UNSD Regional Workshop on Census Data Processing for the English speaking African Countries: Contemporary technologies for data capture, methodology and.
IPT 2009 End of Year Exam Study Guide. How to use this study guide This guide needs to be used with the course text, notes from class and the internet.
Topics Covered: Data processing and its need Data processing and its need Steps in data processing Steps in data processing Objectives of data processing.
By marius OMR Web cam Light pen Light sensor. OMR(optical mark recognition) Uses This device is used to mark big multiple choice papers Advantages An.
UNSD Census Workshop Day 2 - Session 7 Data Capture: Intelligent Character Recognition Andy Tye – International Manager DRS are Worldwide specialists in.
UNSD Regional Workshop on Census Data Processing for the English speaking African Countries: Contemporary technologies for data capture, methodology and.
Data Capture Understand the concept of data encoding. Describe methods of data capture and identify appropriate contexts for their.
Data Capture.
Verification & Validation. Batch processing In a batch processing system, documents such as sales orders are collected into batches of typically 50 documents.
Regional Workshop on the 2010 World Programme on Population and Housing Censuses: International standards, contemporary technologies for census mapping.
Regional Workshop on the 2010 World Programme on Population and Housing Censuses: International standards, contemporary technologies for census mapping.
Collecting.  What are some Tools for Information Processes?  Collecting is the information process that involves deciding what to collect, locating.
Slide 1 A Free sample background from © 2003 By Default! HANDLING DATA IN INFORMATION SYSTEM 19 July 2005 Tuesday Lower 6.
Input Devices By Mrs. Gonzales. All the input, output and storage devices connected to and dependent on a computer for operation are called peripherals.
HOW SCANNERS WORK A scanner is a device that uses a light source to electronically convert an image into binary data (0s and 1s). This binary data can.
The Big Picture Things to think about What different ways are there to collect information automatically? What are the advantages and disadvantages of.
OMR Scanner vs. Image Scanner + OMR Software. Data Collection Systems OMR Scanners OMR Software.
Automatic Data Capture  Process where many techniques are used to automatically collect data without need for manual entry. Manual entry has following.
GCSE ICT LESSON 5 Booklet Sections: 6 & 7 Data Capture & Checking Data.
Input & Output Devices ASHIMA KALRA.
Standard Input Devices
Lesson 4 Alternative Methods Of Input.
A device tat transfers data from the outside world into a computer
Alternative Methods Of Input
DATA COLLECTION Data Collection Data Verification and Validation.
MAGNETIC STRIPE READER
Designing the Inputs and User Interface
Methods of Computer Input and Output
UNSD Census Workshop Data Capture: Optical Mark Recognition
UNSD Census Workshop Data Capture: Intelligent Character Recognition
Selection and Use of Input Devices and Input Media High Volume Devices
Lesson 4 Alternative Methods Of Input.
Introduction to Computers
Optical Data Capture: Optical Character Recognition (OCR)
What is Input "Any data or instruction that is entered into a computer is called input". This data or instruction can come directly from end user or.
Data Capture Process Stages
UNSD Census Workshop Day 2 - Session 6
Optical Data Capture: Optical Mark Recognition (OMR)
Lesson 4 Alternative Methods Of Input.
Data Capture F451 - AS Computing.
Types of Computers Supercomputers Mainframe computers Minicomputers
Introduction to Computers
Input and Output devices in a Computer
Presentation transcript:

INTRODUCTION ABOUT OMR

INDEX  Concept/Definition  Form Design  Scanners & Software  Storage  Accuracy  OMR Advantages  Commercial Suppliers

DEFINITION OF OMR  Optical Mark Recognition is the process of reading the marked data from a card or an OMR document using a computer software application and a scanning device.  While scanning the document it keeps several factors in count like, thickness and design pattern of the document.  OMR system can maintain the secrecy and confidentiality by keeping the transparency.  The scanning of OMR can avoid the huge data entry and manual readings.  Optical Mark Recognition (OMR) system can expedite the result processing.

OMR FORMS  Reads the marked information in the form of numbers or letters and stores it into the computer.  The marks have to be precisely located on the document so that the scanner can detect and process them accurately.

OMR FORMS  An OMR works with a specialized document and contains timing tracks along one edge of the form to indicate scanner where to read for marks which look like black boxes on the top or bottom of a form.

OMR FORMS  Timing tracks indicate where to read for marks and indicate where to clip images.

OMR SCANNER & SOFTWARE  Scanners have specifically placed LEDs (Light Emitting Diodes).  LEDs sense optical marks in certain columns by contrasting reflectivity, once a timing track is detected.  Software interprets the output from the scanner and translates it to the desired format.

OMR SCANNER & SOFTWARE Scanner Characteristics:  Scan speed of 30 to 150 pages per min.  Optical data captures from both the pages  of the Sheet (Duplex scan)  Error detection & display  Software Characteristics:  Performing specific functions such as,  File conversion,  Data extraction, and  File read/ write commands

OMR STORAGE CHARACTERISTICS  Barcodes : For Identification of forms OMR Marks and Barcodes are read and moved directly into a database management system (e.g. SQL) then to a census database.  Images are not normally scanned and stored in OMR.  Images can also be stored in the form of scanned documents.

OMR ACCURACY  OMR is the fastest & most accurate of data collection technologies. To achieve high accuracy, well structured design and good quality printing of these forms is critical.  If the timing track and the bubbles on the form are not in the exact columns where the LEDs in the read head can detect them(Skew), there is no way for the scanner to read the marks (Float).

OMR ADVANTAGES  The bar coded answer book can improve the fairness and transparency in evaluation of the examination evaluation system.  It is speedy, using minimum processing power to process forms for scanning,  It consistently provides unmatched accuracy while scanning  The data, Workshop st_  Costs are predictable and defined.  OMR capture speeds range around 3000 to 4000 forms per hour.  This activity can be controlled and processed by a single PC workstation, which can handle any volume of scanning and the data can be generated.

THANK YOU!