摘要
为了实现可以实时跟踪人体并测量体温的功能,利用嵌入式、图像处理、温度传感器距离补偿等技术,基于树莓派在Python语言环境下使用第三方库OpenCV设计了一种人体随动测温系统。系统首先通过摄像头获得图像,然后提取人体的Gabor特征,两轴云台可以保持摄像头对人体的跟踪;同时,通过集成在摄像头上的温度传感器实时获取人体的温度。实验结果表明,本系统能够很好地对人体进行识别、跟踪以及测温,具有推广价值。
Based on Python, OpenCV and Raspberry Pi, this paper developed a body temperature measurement servo system with embedded development, image processing and distance compensation of temperature sensors, which could realize the functionof real-time body following and temperature measurement. The system could get image by camera, detect body of video stream by using Haar classifier, and the two-axis servo system could keep track of moving body; body temperature could be received by temperature sensor on the camera. The experimental results show that the system can detect and track moving body and measure body temperature very well, which has the value of popularization.
作者
周柱
孙娇娜
Zhou Zhu;Sun Jiaona(School of Mechanical Engineering,Shanghai University of Science and Technology,Shanghai 200093,China)
出处
《农业装备与车辆工程》
2018年第10期61-64,共4页
Agricultural Equipment & Vehicle Engineering
