ABSTRACT

1. This article reviews the studies on optical technologies for automated poultry carcase inspection, discusses challenges and potential solutions in their real-time applications in poultry slaughter facilities.

2. Over the past few decades, extensive research has been underway to develop an optical technology-based machine vision system for automated inspection of poultry carcases and viscera. Such an automated technology will not only aid in carcase inspection to maximise food safety, but it will also support the U.S. New Poultry Inspection System’s aim to foster innovation in poultry processing as well as increase line speed.

3. Many earlier studies based on visible and near-infrared spectroscopy showed promise, but could not be implemented successfully in an on-line poultry processing plant. Currently, multi- and hyper-spectral imaging-based machine vision systems have shown promising outcomes.

5. The critical hurdles for real-time application of automated imaging technology in poultry carcase inspection include high-speed processing lines, slaughter facilities environment and variation in broiler rearing practices. Therefore, further improvement in imaging and machine vision technologies based on physiochemical properties on poultry carcases, the establishment of more technology friendly inspection station, and an integrated data management for different rearing practices are essential to overcome those hurdles.

摘要

1.本文回顾了用于自动家禽屠体检查的光学技术的研究，讨论了其在家禽屠宰场实时应用中的挑战和潜在解决方案。

2.在过去的几十年中，正在进行广泛的研究，以开发一种基于光学技术的机器视觉系统来自动检查家禽尸体和内脏。这样的自动化技术不仅可以帮助进行尸体检查以最大程度地提高食品安全性，而且还可以支持美国新家禽检查系统旨在促进家禽加工创新和提高生产线速度的目标。

3.许多基于可见光和近红外光谱的早期研究显示出了希望，但无法在在线家禽加工厂成功实施。当前，基于多光谱和高光谱成像的机器视觉系统已显示出令人鼓舞的结果。

5.在禽畜尸体检查中实时应用自动成像技术的关键障碍包括高速处理线，屠宰场环境和肉鸡饲养方法的变化。因此，必须克服基于家禽尸体的理化特性的成像和机器视觉技术的进一步改进，建立技术更友好的检查站以及针对不同饲养方式的集成数据管理，以克服这些障碍。