| PRODUCT NAME |
Biomimetic Vision System For Quality Assessment Of Edible Bird Nest
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| ABSTRACT |
Bird nest can be viewed adequately by 2D; therefore they are most suitable for real-time machine processing. This experiment was performed on various camera angle and bird nest position. More than a hundred bird nests were used in this experiment obtained throughout Malaysia. A Fourier-Descripror hybrid with siganature method was developed from CCD image data to grade bird nests by its shape and size. A Fourier Descripror hybrid with Signature method was able to differentiate different shapes such as oval and 'v' shaped depending on the swiftlet species and geographical origin. This Invention also use the IR sensor to estimate the water content inside the bird nest.
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| FILING COUNTRY |
Malaysia
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| REG. NUMBER |
PI 2014702505
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| INTELLECTUAL STATUS |
Patent Filing
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| FILE DATE |
5/9/2014
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| IP TYPE |
Patent
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| YEAR APPLY |
2012
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| DEPARTMENT |
PUSAT PENGAJIAN KEJURUTERAAN MEKATRONIK
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| STAF NO / MATRIC NO |
ALI YEON BIN MD SHAKAFF, 591010-02-5787, 0402407
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| OWNER NAME |
UniMAP
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| EQUITY PERCENTAGE |
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| NOTEL HP |
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