Raspberry Pi-Based Multipurpose Optical Mark Recognition (OMR) Scanner / (Record no. 1769)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02968nam a22003137a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220623004150.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 220623b ||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Language of cataloging | English. |
| Transcribing agency | CvSU-CCAT Campus Library. |
| Description conventions | rda. |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | UM QA 76.9.S63 |
| Item number | C33 2018 |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Cabadsan, Mark Roger L., author |
| 9 (RLIN) | 5602 |
| 245 ## - TITLE STATEMENT | |
| Title | Raspberry Pi-Based Multipurpose Optical Mark Recognition (OMR) Scanner / |
| Statement of responsibility, etc. | MarkRoger L. Cabadsan and Chrysolite A. Nocon. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Rosario, Cavite : |
| Name of publisher, distributor, etc. | Cavite State University-CCAT Campus, |
| Date of publication, distribution, etc. | 2018 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xiii, 70 leaves : |
| Other physical details | illustrations ; |
| Dimensions | 28 cm |
| 500 ## - GENERAL NOTE | |
| General note | Design Project (BSCpE)--Cavite State University-CCAT Campus, 2018. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Includes bibliographical references and appendices. |
| 520 ## - SUMMARY, ETC. | |
| Thesis Abstract | <a href="CABADSAN, MARK ROGER L., NOCON, CHRYSOLITE A. Raspberry Pi-Based Multipurpose Optical Mark Recognition (OMR) Scanner. Design Project. Department of Engineering. Cavite State University-Cavite College of Arts and Trades Campus, Rosario, Cavite. June 2018. Adviser: Engr. John Michael A. Dharma. Mr. Karlo Jose K. Nabablit.<br/><br/>The study was conducted from August 2017 to June 2018 in order to design and develop a Raspberry Pi-based Multipurpose Optical Mark Recognition (OMR) Scanner for Cavite State University Cavite College of Arts and Trades (CCAT) that can automate the assessment of the Student Evaluation for Teachers (SET) and canvassing of Central Student Government (CSG) election votes. Specifically, the study aimed to: 1) design and develop a standalone Raspberry Pi-based OMR scanning device that is able of performing recognition, acquisition, storage and processing of all the necessary data or information and automatically assess and produce appropriate results; 2) evaluate the prototype technical performance in terms of accuracy, process time and over-all functionality; and 3) conduct a cost analysis of the research. <br/><br/>Parameters measured are — 1) number of successful recognition per set, 2) number of accurate recognition per set and 3) process time per each cycle (seconds). These data were gathered to determine the probability of successful recognition, probability of producing an accurate result and the average processing time per cycle. <br/><br/>The data were analyzed and the results showed that the Raspberry Pi-based Multipurpose Optical Mark Recognition (OMR) Scanner were able to automate the canvassing of CSG election votes and SET effectively and efficiently.">CABADSAN, MARK ROGER L., NOCON, CHRYSOLITE A. Raspberry Pi-Based Multipurpose Optical Mark Recognition (OMR) Scanner. Design Project. Department of Engineering. Cavite State University-Cavite College of Arts and Trades Campus, Rosario, Cavite. June 2018. Adviser: Engr. John Michael A. Dharma. Mr. Karlo Jose K. Nabablit.<br/><br/>The study was conducted from August 2017 to June 2018 in order to design and develop a Raspberry Pi-based Multipurpose Optical Mark Recognition (OMR) Scanner for Cavite State University Cavite College of Arts and Trades (CCAT) that can automate the assessment of the Student Evaluation for Teachers (SET) and canvassing of Central Student Government (CSG) election votes. Specifically, the study aimed to: 1) design and develop a standalone Raspberry Pi-based OMR scanning device that is able of performing recognition, acquisition, storage and processing of all the necessary data or information and automatically assess and produce appropriate results; 2) evaluate the prototype technical performance in terms of accuracy, process time and over-all functionality; and 3) conduct a cost analysis of the research. <br/><br/>Parameters measured are — 1) number of successful recognition per set, 2) number of accurate recognition per set and 3) process time per each cycle (seconds). These data were gathered to determine the probability of successful recognition, probability of producing an accurate result and the average processing time per cycle. <br/><br/>The data were analyzed and the results showed that the Raspberry Pi-based Multipurpose Optical Mark Recognition (OMR) Scanner were able to automate the canvassing of CSG election votes and SET effectively and efficiently.</a> |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Optical Mark Recognition (OMR). |
| 9 (RLIN) | 5603 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Raspberry Pi-based. |
| 9 (RLIN) | 5604 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Performing recognition. |
| 9 (RLIN) | 5605 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Acquisition. |
| 9 (RLIN) | 5606 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Storage and processing. |
| 9 (RLIN) | 5607 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Cost analysis. |
| 9 (RLIN) | 5484 |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Nocon, Chrysolite A., author. |
| 9 (RLIN) | 5608 |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Dharma, John Michael A., adviser. |
| 9 (RLIN) | 5496 |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Nabablit, Karlo Jose E., critic. |
| 9 (RLIN) | 5609 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Library of Congress Classification |
| Koha item type | Thesis/Manuscripts/Dissertations |
| Classification part | QA 76.9.S63 |
| Item part | C33 2018 |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Current library | Shelving location | Date acquired | Total Checkouts | Full call number | Barcode | Date last seen | Copy number | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Library of Congress Classification | Thesis/Manuscript/Dissertation | Cavite State University - CCAT Campus | Cavite State University - CCAT Campus | TH | 06/23/2022 | UM QA 76.9.S63 C33 2018 | T0004205 | 10/24/2025 | 1 copy | 06/23/2022 | Thesis/Manuscripts/Dissertations |