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: | , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2021
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| 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 http://umpir.ump.edu.my/id/eprint/34608/ |
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| Summary: | 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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