Automated class student counting through image processing
Teachers used to keep student records manually by calling names or distributing an attendance sheet around the classroom. These procedures take time, are prone to errors, and require proxy attendance. Furthermore, digital record assimilation is time-consuming since teachers must manually put in the...
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| Format: | Article |
| Language: | English |
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REA Press
2021-03-01
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| Series: | Big Data and Computing Visions |
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| Online Access: | https://www.bidacv.com/article_142509_cd59964cd3bc925155d838f484c69059.pdf |
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| _version_ | 1832579323077328896 |
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| author | Agyan Panda Azadeh Shemshad |
| author_facet | Agyan Panda Azadeh Shemshad |
| author_sort | Agyan Panda |
| collection | DOAJ |
| description | Teachers used to keep student records manually by calling names or distributing an attendance sheet around the classroom. These procedures take time, are prone to errors, and require proxy attendance. Furthermore, digital record assimilation is time-consuming since teachers must manually put in the entries in the database to generate reports. It's also important to keep manual and digital records consistent. Standard biometrics such as fingerprint and iris recognition have been used in automated systems in recent years. These systems are obtrusive by nature and necessitate high-tech equipment. Our proposed solution eliminates redundancy in human records and makes maintaining attendance a simple chore. |
| format | Article |
| id | doaj-art-31dc00c35add4a92877208bc1d05044a |
| institution | Kabale University |
| issn | 2783-4956 2821-014X |
| language | English |
| publishDate | 2021-03-01 |
| publisher | REA Press |
| record_format | Article |
| series | Big Data and Computing Visions |
| spelling | doaj-art-31dc00c35add4a92877208bc1d05044a2025-01-30T12:21:07ZengREA PressBig Data and Computing Visions2783-49562821-014X2021-03-0111242910.22105/bdcv.2021.142509142509Automated class student counting through image processingAgyan Panda0Azadeh Shemshad1Department of Computer Science and Engineering, OEC Engineering College, OD, India.Department of Accounting and Control, Erasmus University, Rotterdam, Netherlands.Teachers used to keep student records manually by calling names or distributing an attendance sheet around the classroom. These procedures take time, are prone to errors, and require proxy attendance. Furthermore, digital record assimilation is time-consuming since teachers must manually put in the entries in the database to generate reports. It's also important to keep manual and digital records consistent. Standard biometrics such as fingerprint and iris recognition have been used in automated systems in recent years. These systems are obtrusive by nature and necessitate high-tech equipment. Our proposed solution eliminates redundancy in human records and makes maintaining attendance a simple chore.https://www.bidacv.com/article_142509_cd59964cd3bc925155d838f484c69059.pdfattendancepedagogyimage processing |
| spellingShingle | Agyan Panda Azadeh Shemshad Automated class student counting through image processing Big Data and Computing Visions attendance pedagogy image processing |
| title | Automated class student counting through image processing |
| title_full | Automated class student counting through image processing |
| title_fullStr | Automated class student counting through image processing |
| title_full_unstemmed | Automated class student counting through image processing |
| title_short | Automated class student counting through image processing |
| title_sort | automated class student counting through image processing |
| topic | attendance pedagogy image processing |
| url | https://www.bidacv.com/article_142509_cd59964cd3bc925155d838f484c69059.pdf |
| work_keys_str_mv | AT agyanpanda automatedclassstudentcountingthroughimageprocessing AT azadehshemshad automatedclassstudentcountingthroughimageprocessing |