基于热红外视频的生猪耳根温度检测方法

Detecting Method of Surface Temperature of Pig Ear Root Based on Thermal Infrared Video

基于热红外视频的生猪体温实时检测过程中,针对生猪头部姿态多变不能准确检测耳根温度的问题,提出了一种生猪耳根温度精准检测方法。首先,根据生猪头部运动轨迹数据,对饲喂栏通道进行最佳耳根测温区域划分;然后,提出了一种位置偏移算法,检测最佳耳根测温区域中的头部姿态端正帧(Head posture correct frame,HPCF);最后,构建了基于YOLO v4的生猪头部和耳根检测模型,对生猪头部和耳根区域进行精准定位,实现了HPCF的自动检测,分别提取HPCF的左、右耳根检测框内的最高温度作为各自的耳根温度。试验结果表明,基于YOLO v4模型的平均检测精度(mAP)达到93.15%,头部和耳根定位精准;HPCF检测准确率为91.33%;将算法提取的耳根温度和手动提取的耳根温度进行比较,分析结果表明,对于测试的HPCF中的左右耳根温度,误差在0.3℃以内的测试图像分别占97%和98%。上述研究结果可为生猪体温异常实时监测与预警提供技术手段。

In the process of real-time detection of pig body temperature based on thermal infrared video,a method for accurately detecting the ear root temperature of pigs was proposed to solve the problem that the head posture of pigs cannot accurately detect the ear root temperature.Firstly,according to the pig head movement trajectory data,the feeding pen channel was divided into the best ear root temperature measurement area;then,a position offset algorithm was proposed to detect the head posture correction frame in the best ear root temperature measurement area(head posture correct frame,HPCF).Finally,a pig head and ear root detection model based on YOLO v4 was constructed,and the pig head and ear root area were accurately positioned to realize the automatic detection of HPCF,and extract the left and right ear root detection of HPCF respectively.The highest temperature in the frame was taken as the root temperature of each ear.The test results showed that the average detection accuracy(mAP)based on the YOLO v4 model reached 93.15%,and the head and ear roots were positioned accurately;the HPCF detection accuracy rate were 91.33%;the ear root temperature extracted by the algorithm and the manually extracted ear root temperature were compared,and the results were analyzed.It showed that for the temperature of the left and right ear roots in the tested HPCF images,the errors of 97%and 98%of the test images were within 0.3℃.The above research results can provide technical means for real-time monitoring and early warning of abnormal body temperature of pigs.