• Title/Summary/Keyword: Pig Monitoring

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Development of Wearable Device for Monitoring Working Environment in Pig House (양돈장 작업환경 모니터링을 위한 웨어러블 장비개발)

  • Seo, Il-Hwan
    • Journal of The Korean Society of Agricultural Engineers
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    • v.62 no.1
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    • pp.71-81
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    • 2020
  • Enclosed pig house are creating an environment with high concentrations of gas and dust. Poor conditions in pig farms reduce pig weight and increase disease and accidents for livestock workers. In the pig house, the high concentration of harmful gas may cause asphyxiation accidents to workers and chronic respiratory disease by long-term exposure. As pig farm workers have been aging and feminized, the damage to the health of the harsh environment is getting serious, and real-time monitoring is needed to prevent the damage. However, most of the measuring devices related to humidity, harmful gas, and fine dust except temperature sensors are exposed to high concentrations of gas and dust inside pig house and are difficult to withstand for a long time. The purpose of this study is to develop an wearable based device to monitor the hazardous environment exposed to workers working in pig farms. Based on the field monitoring and previous researches, the measurement range and basic specifications of the equipment were selected, and wearable based device was designed in terms of utilization, economic efficiency, size and communication performance. Selected H2S and NH3 sensors showed the average error of 5.3% comparing to standard gas concentrations. The measured data can be used to manage the working environment according to the worker's location and to obtain basic data for work safety warning.

Individual Pig Detection using Fast Region-based Convolution Neural Network (고속 영역기반 컨볼루션 신경망을 이용한 개별 돼지의 탐지)

  • Choi, Jangmin;Lee, Jonguk;Chung, Yongwha;Park, Daihee
    • Journal of Korea Multimedia Society
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    • v.20 no.2
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    • pp.216-224
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    • 2017
  • Abnormal situation caused by aggressive behavior of pigs adversely affects the growth of pigs, and comes with an economic loss in intensive pigsties. Therefore, IT-based video surveillance system is needed to monitor the abnormal situations in pigsty continuously in order to minimize the economic demage. Recently, some advances have been made in pig monitoring; however, detecting each pig is still challenging problem. In this paper, we propose a new color image-based monitoring system for the detection of the individual pig using a fast region-based convolution neural network with consideration of detecting touching pigs in a crowed pigsty. The experimental results with the color images obtained from a pig farm located in Sejong city illustrate the efficiency of the proposed method.

Real-Time Pig Segmentation for Individual Pig Monitoring in a Weaning Pig Room (이유자돈사에서 개별 돼지 모니터링을 위한 실시간 돼지 구분)

  • Ju, Miso;Baek, Hansol;Sa, Jaewon;Kim, Heegon;Chung, Yongwha;Park, Daihee
    • Journal of Korea Multimedia Society
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    • v.19 no.2
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    • pp.215-223
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    • 2016
  • To reduce huge losses in pig farms, weaning pigs with weak immune systems are required to be carefully supervised. Even if various researches have been performed for livestock monitoring environment, segmenting each pig from touching pigs is still entrenched as a difficult problem. In this paper, we propose a real-time segmentation method for moving pigs by using motion information in a 24-h video surveillance system. The experimental results with the videos obtained from a domestic pig farm illustrated the possibility for segmenting by using our proposed method in real-time.

Accurate Pig Detection for Video Monitoring Environment (비디오 모니터링 환경에서 정확한 돼지 탐지)

  • Ahn, Hanse;Son, Seungwook;Yu, Seunghyun;Suh, Yooil;Son, Junhyung;Lee, Sejun;Chung, Yongwha;Park, Daihee
    • Journal of Korea Multimedia Society
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    • v.24 no.7
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    • pp.890-902
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    • 2021
  • Although the object detection accuracy with still images has been significantly improved with the advance of deep learning techniques, the object detection problem with video data remains as a challenging problem due to the real-time requirement and accuracy drop with occlusion. In this research, we propose a method in pig detection for video monitoring environment. First, we determine a motion, from a video data obtained from a tilted-down-view camera, based on the average size of each pig at each location with the training data, and extract key frames based on the motion information. For each key frame, we then apply YOLO, which is known to have a superior trade-off between accuracy and execution speed among many deep learning-based object detectors, in order to get pig's bounding boxes. Finally, we merge the bounding boxes between consecutive key frames in order to reduce false positive and negative cases. Based on the experiment results with a video data set obtained from a pig farm, we confirmed that the pigs could be detected with an accuracy of 97% at a processing speed of 37fps.

A study for implementation of monitoring system for genetic improvement of swine breeding stock (종돈개량 모니터링시스템에 대한 고찰)

  • Do, Chang-Hee;Yang, Chang-Beom;Choi, Jae-Gwan;Yang, Boh-Suk;Song, Hyung-Jun
    • Korean Journal of Agricultural Science
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    • v.42 no.3
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    • pp.215-222
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    • 2015
  • This paper sketches the strategies and designs for monitoring system of swine genetic improvement. The system should reflect every side of pig production. The system leads us to assess the efficiency of pig production and the scope of the system includes not only nucleus, multiplying and commercial herds, but also packing and processing sectors. For more accurate statistics, data for this monitoring system must be collected from all above mentioned areas, but not by random sampling. Futhermore, data analysis results including seedstocks and distribution information of genetic trend should be included in the system. The schema of knowledge database system could be employed in the system. The monitoring system in the final destination would unify the systems derived from various sources and provide any solution in swine industry including pig breeding.

Pressure Monitoring System in Gastro-Intestinal Track (소화기관내의 압력 모니터링 시스템)

  • 김용인;박석호;김병규;박종오
    • Journal of Institute of Control, Robotics and Systems
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    • v.10 no.11
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    • pp.1089-1094
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    • 2004
  • Diseases in the gastro-intestinal track are on an increasing trend. In order to diagnose a patient, the various signals of the digestive organ, such as temperature, pH, and pressure, can offer the helpful information. Among the above mentioned signals, we choose the pressure variation as a monitoring signal. The variation of a pressure signal of the gastro-intestinal track can offer the information of a digestive trouble or some clues of the diseases. In this paper, a pressure monitoring system for the digestive organs of a living pig is presented. This system concept is to transmit the measured biomedical signals from a transmitter in a living pig to wireless receiver that is positioned out of body. The integrated solution includes the following parts: (1) the swallow type pressure capsule, (2) the receiving set consisting of a receiver, decoder box, and PC. The merit of the proposed system if that the monitoring system can supply the precise and repeatable pressure in the gastro-intestinal track. In addition, the design of low power consumption enables it to keep sending reliable signals while the pressure capsule is working in the digestive organ. The subject of the study for the pressure monitoring system is in-vivo experiments for a living pig. We achieved the pressure tracings in digestive organs and verified the validity of system after several in-vivo tests using pressure monitoring system. As a result, we found each organ has its own characterized pressure fluctuation.

Pig Segmentation using Concave-Points and Edge Information (오목점과 에지 정보를 이용한 돼지의 경계 구분)

  • Baek, Hansol;Chung, Yeonwoo;Ju, Miso;Chung, Yongwha;Park, Daihee;Kim, Hakjae
    • Journal of Korea Multimedia Society
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    • v.19 no.8
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    • pp.1361-1370
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    • 2016
  • To reduce huge losses in pig farms, weaning pigs with weak immune systems are required to be carefully supervised. Even if various researches have been performed for pig monitoring environment, segmenting each pig from touching-pigs is still entrenched as a difficult problem. In this paper, we propose a segmentation method for touching-pigs by using concave-points and edge information in a video surveillance system. Especially, we interpret the segmentation problem as a time-series analysis problem in order to identify the concave-points generated by touching-pigs. Based on the experimental results with the videos obtained from a domestic pig farm, we believe that the proposed method can accurately segment the touching-pigs.

Pressure Monitoring System in Gastro-Intestinal Tract

  • Kim, Byung-Kyu;Kim, Yong-In;Park, Suk-Ho;Jo, Jin-Ho;Park, Gwi-Tae
    • 제어로봇시스템학회:학술대회논문집
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    • pp.196-201
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    • 2005
  • Diseases in the gastro-intestinal tract are on an increasing trend. In order to diagnose a patient, various signals of the digestive organ, such as temperature, pH, and pressure, can offer the helpful information. Among the above mentioned signals, we choose the pressure variation as a monitoring signal. The variation of a pressure signal of the gastro-intestinal tract can offer the information of a digestive trouble or some clues of the diseases. In this paper, a pressure monitoring system for the digestive organs of a living pig is presented. This is why a pig's gastro-intestinal tract is very similar as human's. This system concept is to transmit the measured biomedical signals from a transmitter in a living pig to a wireless receiver that is positioned out of body. The integrated solution includes the swallow type pressure capsule and the receiving set consisting of a receiver, decoder circuit. The merit of the proposed system is that the monitoring system can supply the precise and a durable characteristic to measure and to transmit a signal in the gastro-intestinal tract. We achieved the pressure tracings in digestive organs and verified the validity of system after several in-vivo tests using the pressure monitoring system. Through various experiments, we found each organ has its own characterized pressure fluctuation.

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Monitoring of Internal Harmful Factors According to Environmental Factors in Pig Farm (양돈장 내의 환경 요인에 따른 내부 유해인자의 변동 모니터링)

  • Lee, Seong-Won;Kim, Hyo-Cher;Seo, Il-Hwan
    • Journal of The Korean Society of Agricultural Engineers
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    • v.62 no.1
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    • pp.105-115
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    • 2020
  • With the decrease of the agricultural population in Korea, the workers who is vulnerable to labor are increasing in agricultural industry because of aging, feminization of population. They are exposed in poor working environment with higher temperature and concentrations of dust, gas. Higher concentration of harmful gas and dust can cause chronic and acute disease to workers depending on exposure intensity and frequency. In order to improve the working environment in the livestock facilities, It is important to secure monitoring data of the thermal environment and the concentration of harmful gases and fine dust. Multi-point measurement was performed to analyze the regional environmental conditions in the pig rooms. When analyzing the working environment, video monitoring was conducted to analyze the concentration changes of ammonia, hydrogen sulfide and fine dust according to worker movement and work type. Ammonia and hydrogen sulfide monitoring result showed 1.5~2 times higher concentrations than other work when working in the pigs living zone, and 2~4 times higher than other work when working to increase the activity of pigs. In the case of fine dust, the result was 1.3 times higher than the worker's exposure standard in a specific work. The concentrations of gases and dusts from pig farms are not of concern for acute poisoning in normal work, but there is a risk of chronic respiratory disease if they are continuously exposed. Accordingly, there is a need for development of work environment monitoring device tailored to workers and preparation of alternatives.

Implementation of a AI PigMoS System based on FMC (유무선 통합(Fixed Mobile Convergence) AI PigMoS 시스템의 구현)

  • Kim, Hyun-ju;Kim, Chang-Gun;Chung, Ki-Haw
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • pp.951-952
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    • 2013
  • 국내 양돈분야에서의 AI(Artificial Insemination)센터는 인공수정 기술의 개발과 보급과 관하여서는 중추적인 역할을 수행하고 있다. 그러나 현재 전국AI센터에서 사용하고 있는 정보관리 시스템은 독립적이고 운영체제에 의존적인 형태로 운영되고 있다. 따라서 현재 전국AI센터 정보관리 체계는 실시간으로 정보관리 시스템의 접근제한과 모바일 서비스 등의 분야에서 그 분명한 한계를 가진다. 이에 본 논문에서는 유무선 통합(FMC) AI PigMoS(Pig Monitoring System, PigMoS) 시스템을 제안하고 구현하였다. 본 논문에서 제안한 FMC AI PigMoS 시스템은 이동성, 실시간 정보관리 등을 지원할 수 있도록 인터넷과 모바일에서 운영할 수 있도록 구현 하였다. 구현된 FMC AI PigMoS 시스템은 이동성과 실시간 정보관리 등에 필요한 모듈 중심으로 설계하고 구현하였다. 이는 원거리 소비자들에게 각 AI센터에서 생성된 AI정보를 실시간으로 제공하여 개별AI센터의 경쟁력 향상을 높일 것으로 기대한다.

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