利用热和视觉信息检测老鼠的机器视觉

Georjean D. S. Brown, C. Latonio, Richard Dean N. Oanes, Katrina R. Valentin, Edwin Jonathan F. Zara, Kanny Krizzy D. Serrano, E. Guevara, Angelo R. dela Cruz, A. Bandala, R. R. Vicerra
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引用次数: 4

摘要

害虫,尤其是啮齿动物,是给人们带来问题的主要原因,因为它传播致命的疾病,并对大田作物造成损害,因为它在菲律宾减少了价值数十亿美元的作物产量。研究人员提出了一种帮助根除老鼠的检测措施,以防止未来作物种植的失败或不足。研究人员通过设计和开发一种机器视觉系统来解决这个问题,该系统使用热和视觉识别来识别啮齿动物。热成像使用红外成像来检测和记录物体发出的热温度模式,而视觉成像记录的是暴露在良好照明下的视频,没有配置用于黑暗环境跟踪。为了进行数据比较,研究人员记录了两种单独相机对老鼠的检测精度。研究人员证明,使用热像仪产生的结果比使用视觉相机更准确。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Machine vision for rat detection using thermal and visual information
Pests, particularly rodents, are a major cause of problem to people because of the deadly diseases it spreads and the damage it does on field crops as it decreases billion worth of yield crop production in the Philippines. A detection measure to help eradicate rats is proposed by the researchers to prevent future failures or deficiencies in crop cultivation. Researchers developed a solution to this by designing and developing a Machine Vision System using thermal and visual identification for rodent identification. Thermal imaging uses infrared imaging to detect and record only thermal temperature patterns emitted by an object whereas visual imaging record videos exposed to good lighting and has not been configured for dark environment tracking. The rat detection accuracy of both individual cameras were recorded for data comparison and researchers proved that the use of a thermal camera arise to results that are more accurate than with the use of a visual camera.
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