• Title/Summary/Keyword: Multi-tier layers battery

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Development of Wireless Monitoring System for Layers Rearing in Multi-tier Layers Battery by Machine Vision (기계시각을 이용한 고단 직립식 산란계 케이지의 무선 감시시스템 개발)

  • Lim, Song-Su;Chang, Dong-Il;Lee, Seung-Joo;So, Jae-Kwang
    • Journal of Biosystems Engineering
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    • v.32 no.3
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    • pp.173-178
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    • 2007
  • This research was conducted to develop and analyze a wireless monitoring system for judging if sick or dead layers (SDL) exist in multi-tier layers battery (MLB) by machine vision, and to evaluate the performance between a wired monitoring system and it. This study used the AP (Access Point), the RS-285 to RS-232 converter, RS-232 to Ethernet converter, PICBASIC board and upgraded lump image processing method to change wired monitoring system into wireless monitoring system. The system was tested at a pilot farm and farm layer house. Results showed that monitoring judgement success rate at a pilot farm on normal cage (without SDL) was 82.3% and that on abnormal cage (with SDL) was 87.5%, respectively. And communication performance test results showed at farm layer house was $700{\sim}900$ kbps while equipments operated. There were dropped slightly than performance of wired monitoring system, however, the quantity was too small to make a significant difference of performance of the controling system developed for wireless communication.

Development of Wired Monitoring System for Layers Rearing in Muti-tier Layers Battery by Machine Vision (기계시각을 이용한 고단 직립식 산란계 케이지의 유선 감시시스템 개발)

  • Zheng, S.Y.;Chang, D.I.;Lee, S.J.;So, J.K.
    • Journal of Biosystems Engineering
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    • v.31 no.5 s.118
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    • pp.436-442
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    • 2006
  • This research was conducted to design and develop a wired monitoring system for judging if sick or dead layers (SDL) exist in multi-tier layers battery (MLB) by machine vision, and to analyze its performance. In this study, 20 Brown Leghorn (Hi-Brown) layers aged 37 weeks old, were used as the experimental animals. The intensity of concern paid by layers on feed was over 90% during 5 minutes and 30 seconds after providing feed, and normal layers (NL) had been standing to take feed for that period. Therefore, in this study, the optimal judging time was set by this test result. The wired monitoring system developed was consisted of a driving device for carrying machine vision systems, a control program, a RS232 to RS485 convertor, an automatic positioning system, and an image capture system. An image processing algorithm was developed to find SDL in MLB by the processes of binary processing, erosion, expansion, labeling, and reckoning central coordinate of the captured images. The optimal velocity for driving unit was set up as 0.13 m/s by the test results for wired monitoring system, and the proximity switch was controlled not to be operated for 1.0 second after first image captured. The wired monitoring system developed was tested to evaluate the remote monitoring performance at lab-scale laying hen house. Results showed that its judgement success.ate on normal cage (without SDL) was 87% and that on abnormal cage (with SDL) was 90%, respectively. Therefore, it would be concluded that the wired monitoring system developed in this study was well suited to the purpose of this study.

Development of Monitering system for Layers Rearing in Multi-tier Layers Battery by machine Vision (I) - Development of Image Processing Algorithm for Finding The Sick or The Dead Layers - (기계시각을 이용한 고단 직립식 산란계 케이지의 감시시스템 개발 (I) - 병${\cdot}$폐사계 판정알고리즘 개발 -)

  • Im, Song-Su;Jang, Dong-Il;Jeong, Ssang-Yang;Lee, Seung-Ju
    • Proceedings of the Korean Society for Agricultural Machinery Conference
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    • v.10 no.2
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    • pp.273-279
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    • 2005
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Development of an Algorithm for Automatic Finding the Sick or the Dead Layers in the Multi-tier Layer Battery (고단 직립식 산란계 케이지내의 병계 및 폐사계의 유무를 자동 판정하기 위한 영상처리알고리즘 개발)

  • Chang D. I;Lim S. S.;Zheng S. Y.;Lee S. J.
    • Journal of Animal Environmental Science
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    • v.11 no.1
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    • pp.35-44
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    • 2005
  • The objectives of this study were to develop an image processing algorithm for finding the sick or the dead layers(SDL) rearing in the multi-tier layer battery, which is a core technology of remote monitoring systems for layers, and to test the performance of algorithm developed in the experimental poultry housing. Based on the literature study and experiment, the standing up of layer was set as a criterion for judging layers whether sick or dead. Then, by the criterion set, an algorithm was developed. The image processing algorithm developed was tested how well it could and SDL at the experimental poultry housing. Test results showed that its monitoring correctness of layers standing up in the cages having all healthy layers was $92\%$, and $96\%$ in the cages having SDL. Therefore, it would be concluded that the image processing algorithm developed in this study was well suited to the purpose of development.

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