【24h】

Improved imaging system for fecal detection

机译:改进的粪便检测成像系统

获取原文

摘要

The Agricultural Research Service (ARS) has developed a hyperspectral imaging system to detect fecal contaminants on poultry carcasses. The system operates from about 400 to 1000 nm, but only a few wavelengths are used in a realtime multispectral system. ARS has reported that the ratio of reflectance images at 565 nm and 517 nm was able to identify fecal contaminants. However, this ratio alone also misclassified numerous non-fecal carcass features (false positives). Recent modifications to the system, including improved lighting, new camera, new spectrograph, and a new algorithm with an additional wavelength, have increased fecal detection accuracy while reducing the number of false positives. The new system was used to collect hyperspectral data on 56 stationary poultry carcasses. Carcasses were contaminated with both large and small spots of feces from the duodenum, ceca, and colon, and ingesta from the crop. A total of 1030 contaminants were applied to the carcasses. The new algorithm correctly identified over 99% of the contaminants with only 25 false positives. About a quarter of the carcasses had at least one false positive.
机译:农业研究服务(ARS)开发了一个高光谱成像系统,以检测家禽尸体上的粪便污染物。系统操作约400至1000nm,但实时多光谱系统仅使用少量波长。 ars据报道,565nm和517nm的反射率图像的比率能够识别粪便污染物。然而,单独的比率也错误地错误分类了许多非粪便胴体特征(误报)。最近对系统的修改,包括改进的照明,新摄像机,新光谱仪和具有额外波长的新算法,具有增加的粪便检测精度,同时减少了误报的数量。新系统用于收集56个固定家禽尸体的高光谱数据。胴体被来自十二指肠,CECA和结肠的大小粪便污染,并从作物中摄入。将总共​​1030个污染物施加到尸体上。新算法正确地确定了超过99%的污染物,只有25个误报。大约四分之一的尸体至少有一个误报。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号