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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Main Authors: Wan Nur Azhani, Wan Samsudin, Wai Fook, Wan, Mohd Zamri, Ibrahim, Kamarul Hawari, Ghazali, Ahmad Afif, Mohd Faudzi, Rohana, Abdul Karim
Format: Conference or Workshop Item
Language:English
Published: 2021
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/34608/1/Electronic%20components%20detection%20and%20recognition%20using%20deep%20learning%20for%20learning%20purpose.CITREX2021..pdf
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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
collection UMP
description 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.
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spelling UMPir346082022-07-06T02:56:08Z 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..
spellingShingle 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
title 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_short Electronic components detection and recognition using deep learning for learning purpose
title_sort electronic components detection and recognition using deep learning for learning purpose
topic T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
url http://umpir.ump.edu.my/id/eprint/34608/1/Electronic%20components%20detection%20and%20recognition%20using%20deep%20learning%20for%20learning%20purpose.CITREX2021..pdf
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AT mohdzamriibrahim electroniccomponentsdetectionandrecognitionusingdeeplearningforlearningpurpose
AT kamarulhawarighazali electroniccomponentsdetectionandrecognitionusingdeeplearningforlearningpurpose
AT ahmadafifmohdfaudzi electroniccomponentsdetectionandrecognitionusingdeeplearningforlearningpurpose
AT rohanaabdulkarim electroniccomponentsdetectionandrecognitionusingdeeplearningforlearningpurpose