Classification Of Eggshell Translucent Areas For Quality Determination Using Alexnet
Microbial contaminants are usually the biggest problem faced by egg manufacturer. Bacteria usually penetrate the eggshell through cracks, micro cracks and translucent area are. A fine-tuned Alexnet and a machine vision system were used for inspection of pattern of translucent area. Images 150 crac...
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| Format: | Monograph |
| Language: | English |
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Universiti Sains Malaysia
2018
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| Online Access: | http://eprints.usm.my/54127/ http://eprints.usm.my/54127/1/Classification%20Of%20Eggshell%20Translucent%20Areas%20For%20Quality%20Determination%20Using%20Alexnet_Wong%20Hsueh%20Chung_M4_2018.pdf |
| _version_ | 1848882717492510720 |
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| author | Wong, Hsueh Chung |
| author_facet | Wong, Hsueh Chung |
| author_sort | Wong, Hsueh Chung |
| building | USM Institutional Repository |
| collection | Online Access |
| description | Microbial contaminants are usually the biggest problem faced by egg manufacturer. Bacteria usually penetrate the eggshell through cracks, micro cracks and translucent area are.
A fine-tuned Alexnet and a machine vision system were used for inspection of pattern of translucent area. Images 150 cracked egg and 30 intact eggs were taken. To fit into the Alexnet,
1010 images were cropped randomly within the boundary of egg in the size of 227×227×3 in size training and validation data at the ratio of 7:3. The trained network was then evaluated
qualitatively using Google Dream Images and quantitatively by visualizing and prioritizing channel with highest activation energy in each convolution layer. Extra 100 cropped images
were used as testing images. The trained network was able to detect reject defective egg with accuracy of 91% with false reject rate of 12.5%. The developed system acted as a preliminary study for the development of automated quality determination based on translucent area. |
| first_indexed | 2025-11-15T18:39:21Z |
| format | Monograph |
| id | usm-54127 |
| institution | Universiti Sains Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T18:39:21Z |
| publishDate | 2018 |
| publisher | Universiti Sains Malaysia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | usm-541272022-08-16T07:54:56Z http://eprints.usm.my/54127/ Classification Of Eggshell Translucent Areas For Quality Determination Using Alexnet Wong, Hsueh Chung T Technology TJ Mechanical engineering and machinery Microbial contaminants are usually the biggest problem faced by egg manufacturer. Bacteria usually penetrate the eggshell through cracks, micro cracks and translucent area are. A fine-tuned Alexnet and a machine vision system were used for inspection of pattern of translucent area. Images 150 cracked egg and 30 intact eggs were taken. To fit into the Alexnet, 1010 images were cropped randomly within the boundary of egg in the size of 227×227×3 in size training and validation data at the ratio of 7:3. The trained network was then evaluated qualitatively using Google Dream Images and quantitatively by visualizing and prioritizing channel with highest activation energy in each convolution layer. Extra 100 cropped images were used as testing images. The trained network was able to detect reject defective egg with accuracy of 91% with false reject rate of 12.5%. The developed system acted as a preliminary study for the development of automated quality determination based on translucent area. Universiti Sains Malaysia 2018-06-01 Monograph NonPeerReviewed application/pdf en http://eprints.usm.my/54127/1/Classification%20Of%20Eggshell%20Translucent%20Areas%20For%20Quality%20Determination%20Using%20Alexnet_Wong%20Hsueh%20Chung_M4_2018.pdf Wong, Hsueh Chung (2018) Classification Of Eggshell Translucent Areas For Quality Determination Using Alexnet. Project Report. Universiti Sains Malaysia, Pusat Pengajian Kejuruteraan Mekanikal. (Submitted) |
| spellingShingle | T Technology TJ Mechanical engineering and machinery Wong, Hsueh Chung Classification Of Eggshell Translucent Areas For Quality Determination Using Alexnet |
| title | Classification Of Eggshell Translucent Areas For Quality Determination Using Alexnet |
| title_full | Classification Of Eggshell Translucent Areas For Quality Determination Using Alexnet |
| title_fullStr | Classification Of Eggshell Translucent Areas For Quality Determination Using Alexnet |
| title_full_unstemmed | Classification Of Eggshell Translucent Areas For Quality Determination Using Alexnet |
| title_short | Classification Of Eggshell Translucent Areas For Quality Determination Using Alexnet |
| title_sort | classification of eggshell translucent areas for quality determination using alexnet |
| topic | T Technology TJ Mechanical engineering and machinery |
| url | http://eprints.usm.my/54127/ http://eprints.usm.my/54127/1/Classification%20Of%20Eggshell%20Translucent%20Areas%20For%20Quality%20Determination%20Using%20Alexnet_Wong%20Hsueh%20Chung_M4_2018.pdf |