针对热释电红外传感器对运动后静止的人体无法感应的缺点,设计了一种基于人体步态识别的热释电红外报警系统,大大提高了系统感知智能度,减少了报警的误报率。该系统利用热释电红外传感器(PIR)作为探头,将感测到人体的红外信息转换成电压信号,通过滤波、放大等信号调理以及经过数据采集后,将信号传递给单片机处理,结合人体运动特征进行步态识别,从而实现智能报警,达到安全防护的目的。研究结果表明,基于人体步态识别的热释电红外报警系统具有性能稳定、灵敏度高、误报率低等优点,适合各种安全报警的场合,具有广泛的应用前景。
In order to solve the problem of difficult detecting the motionless human body using pyroelectric infrared (PIR) sensor, a passive PIR alarm system based on human gait recognition was investigated to enhance the intelligence of the system and to reduce the false alarm rate. As the detector, PIR sensor was employed in the system for non-contact monitoring the human body within a certain distance. The PIR signal was filtered, amplified, and then converted to a digital signal by an analog-to-digital converter. Consequently, the digital signal was sent to a microcomputer (MCU) for processing. The human body movement characteristics were analyzed to achieve accurate security alarm purpose. The experimental results demonstrate the stable performance, high sensitivity and low false alarm rate of the developed PIR alarm system, therefore, it can be recommended for the applications in security system of home, shopping center, and warehouse.