Online Capturing and Identification System of the Egg Image before Hatching

Abstract:

In order to improve egg hatchability with non-destructive identification of fertilized eggs, a system that captures egg image online and extracts image feature parameters is designed. It takes an TMS320DM642 processing chip as the core and sets up a fuzzy neural network which is based on 5-D input and 1-D output to identify the egg fertilization. The test result indicated that this model has a high speed and accuracy, easy to realize with 97.22% accuracy as matching the requirement of actual test.

• Periodical: Applied Mechanics and Materials (Volumes 427-429)
• Pages: 567-570
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.427-429.567
• Online since: September 2013
• Authors: Jian Yang*, Chun Yan Xia, Zhan Wu Peng, Xiu Ying Li
• Keywords: Digital Signal Processor, Fuzzy Neural Network (FNN), Test of Fertilized Eggs

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