Electronic components detection and recognition using deep learning for learning purpose
To assist user in detecting and recognizing accurately the electronic components using deep learning approach. It is important to choose the correct electronic components to avoid circuit failure and accident occurred. An accurate detection system based on Single Shot Detector (SSD) framework integr...
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Language: | English |
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2021
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Online Access: | http://umpir.ump.edu.my/id/eprint/34608/1/Electronic%20components%20detection%20and%20recognition%20using%20deep%20learning%20for%20learning%20purpose.CITREX2021..pdf http://umpir.ump.edu.my/id/eprint/34608/ |
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my.ump.umpir.346082022-07-06T02:56:08Z http://umpir.ump.edu.my/id/eprint/34608/ Electronic components detection and recognition using deep learning for learning purpose Wan Nur Azhani, Wan Samsudin Wai Fook, Wan Mohd Zamri, Ibrahim Kamarul Hawari, Ghazali Ahmad Afif, Mohd Faudzi Rohana, Abdul Karim T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering To assist user in detecting and recognizing accurately the electronic components using deep learning approach. It is important to choose the correct electronic components to avoid circuit failure and accident occurred. An accurate detection system based on Single Shot Detector (SSD) framework integrating with the android application is presented to help users, especially students. This application is well developed for the learning purpose. 2021 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/34608/1/Electronic%20components%20detection%20and%20recognition%20using%20deep%20learning%20for%20learning%20purpose.CITREX2021..pdf Wan Nur Azhani, Wan Samsudin and Wai Fook, Wan and Mohd Zamri, Ibrahim and Kamarul Hawari, Ghazali and Ahmad Afif, Mohd Faudzi and Rohana, Abdul Karim (2021) Electronic components detection and recognition using deep learning for learning purpose. In: Creation, Innovation, Technology & Research Exposition (CITREX) 2021, 2021 , Virtually hosted by Universiti Malaysia Pahang. p. 1.. |
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T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Wan Nur Azhani, Wan Samsudin Wai Fook, Wan Mohd Zamri, Ibrahim Kamarul Hawari, Ghazali Ahmad Afif, Mohd Faudzi Rohana, Abdul Karim Electronic components detection and recognition using deep learning for learning purpose |
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To assist user in detecting and recognizing accurately the electronic components using deep learning approach. It is important to choose the correct electronic components to avoid circuit failure and accident occurred. An accurate detection system based on Single Shot Detector (SSD) framework integrating with the android application is presented to help users, especially students. This application is well developed for the learning purpose. |
format |
Conference or Workshop Item |
author |
Wan Nur Azhani, Wan Samsudin Wai Fook, Wan Mohd Zamri, Ibrahim Kamarul Hawari, Ghazali Ahmad Afif, Mohd Faudzi Rohana, Abdul Karim |
author_facet |
Wan Nur Azhani, Wan Samsudin Wai Fook, Wan Mohd Zamri, Ibrahim Kamarul Hawari, Ghazali Ahmad Afif, Mohd Faudzi Rohana, Abdul Karim |
author_sort |
Wan Nur Azhani, Wan Samsudin |
title |
Electronic components detection and recognition using deep learning for learning purpose |
title_short |
Electronic components detection and recognition using deep learning for learning purpose |
title_full |
Electronic components detection and recognition using deep learning for learning purpose |
title_fullStr |
Electronic components detection and recognition using deep learning for learning purpose |
title_full_unstemmed |
Electronic components detection and recognition using deep learning for learning purpose |
title_sort |
electronic components detection and recognition using deep learning for learning purpose |
publishDate |
2021 |
url |
http://umpir.ump.edu.my/id/eprint/34608/1/Electronic%20components%20detection%20and%20recognition%20using%20deep%20learning%20for%20learning%20purpose.CITREX2021..pdf http://umpir.ump.edu.my/id/eprint/34608/ |
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1738510521122947072 |
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13.211869 |