摘要
为防止儿童在停车后被锁在车内导致死亡的汽车安全事故,研究并设计了一种汽车停车防乘客驻留的智能系统,通过检测汽车P挡停车信号和车门上锁信号判断驾驶员停车离开的场景,接着检测车厢内是否有乘客驻留,若检测到有乘客驻留则发送信息给驾驶员,同时控制汽车车窗下降、汽车危险报警灯闪烁等操作达到防止儿童被锁在车内造成死亡安全事故的目的,应用热释电红外传感器与基于摄像头的卷积神经网络图像识别技术检测汽车车厢内是否存在乘客,通过嵌入式控制系统车窗下降和危险报警灯闪烁,同时通过4G及WIFI网络及时将车厢内的图像传送至驾驶员手机,以C语言及JAVA语言在Linux系统中编写了驱动程序、车载上层应用程序和手机客户端应用程序,并完成了实际的调试。结果表明,所设计的智能系统能有效防止乘客驻留,而且效果良好,可移植性强。
For the purpose of preventing car safety accidents in which children are locked in the car after parking,a kind of intelligent system of car parking and preventing passengers from staying is studied and designed.The scene of driver stopping and leaving is judged by detecting car P stop signal and door lock signal,using pyroelectric infrared sensor and camera-based convolutional neural network image recognition technology to detect the presence of passengers in the car box,through the embedded control system window drop and danger alarm lights flashing,and through the 4 G and WIFI network timely transmission of the image in the car box to the driver's mobile phone,in the Linux system with C and the language of the driver,the upper application of the vehicle and mobile phone client applications,and completed the actual debugging,the results show that the designed smart system can effectively prevent passengers from staying,and the effect is good,Strong portability.
作者
戚金凤
罗国荣
QI Jin-feng;LUO Guo-rong(School of Automotive Engineering,Guangzhou University of Science and Technology,Guangzhou 510550,China)
出处
《武汉职业技术学院学报》
2020年第6期104-112,共9页
Journal of Wuhan Polytechnic
基金
2018年广东省普通高校青年创新人才自然科学类项目“停车防人员遗留车内智能监测报警系统的研究”(项目编号:2018GkQNCX135)。
关键词
人工智能
卷积神经网络
汽车安全
嵌入式系统
汽车防乘客驻留
图像识别
artificial intelligence
convolutional neural network
car security
embedded system
car anti-passenger presence
image recognition