Improving the Accuracy to Count Bottle Caps by Implementation of Computer Vision and Deep Learning
The current system to detect the bottle caps is using the HSV (Hue, Saturation and Value) technique. This technique has an accuracy of 85.938% to count the bottle caps. The accuracy of the system to count the bottle caps can be increased by implementing computer vision with deep learning. The...
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| Main Author: | |
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| Format: | Final Year Project |
| Language: | English |
| Published: |
IRC
2019
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| Subjects: | |
| Online Access: | http://utpedia.utp.edu.my/20879/1/Abdul%20Syahid_23033.pdf http://utpedia.utp.edu.my/20879/ |
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| Institution: | Universiti Teknologi Petronas |
| Language: | English |