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Development and Evaluation of a Vision Based Poultry Debone Line Monitoring System

机译：基于视觉的家禽去骨线监测系统的开发与评估

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Efficient deboning is key to optimizing production yield (maximizing the amount of meat removed from a chicken frame while reducing the presence of bones). Many processors evaluate the efficiency of their deboning lines through manual yield measurements, which involves using a special knife to scrape the chicken frame for any remaining meat after it has been deboned. Researchers with the Georgia Tech Research Institute (GTRI) have developed an automated vision system for estimating this yield loss by correlating image characteristics with the amount of meat left on a skeleton. The yield loss estimation is accomplished by the system's image processing algorithms, which correlates image intensity with meat thickness and calculates the total volume of meat remaining. The team has established a correlation between transmitted light intensity and meat thickness with an R2 of 0.94. Employing a special illuminated cone and targeted software algorithms, the system can make measurements in under a second and has up to a 90-percent correlation with yield measurements performed manually. This same system is also able to determine the probability of bone chips remaining in the output product. The system is able to determine the presence/absence of clavicle bones with an accuracy of approximately 95 percent and fan bones with an accuracy of approximately 80%. This paper describes in detail the approach and design of the system, results from field testing, and highlights the potential benefits that such a system can provide to the poultry processing industry.
机译：高效去骨是优化产量的关键（在减少骨头的情况下，最大程度地从鸡架中取出肉类）。许多加工者通过手动产量测量来评估其去骨线的效率，这涉及使用专用刀将去骨后的任何剩余肉刮到鸡架上。佐治亚理工学院（GTRI）的研究人员开发了一种自动视觉系统，用于通过将图像特征与骨骼上残留的肉类数量相关联来估算这种产量损失。产量损失估计由系统的图像处理算法完成，该算法将图像强度与肉厚相关联，并计算剩余肉的总量。该团队建立了透射光强度与肉厚之间的相关性，R2为0.94。该系统采用特殊的照明锥和目标软件算法，可以在一秒钟内完成测量，并且与手动执行的产量测量具有高达90％的相关性。该相同系统还能够确定骨屑保留在输出产品中的可能性。该系统能够以大约95％的精度确定锁骨的存在/不存在，并以大约80％的精度确定扇骨的存在。本文详细介绍了该系统的方法和设计，现场测试的结果，并重点介绍了该系统可以为家禽加工业提供的潜在收益。

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