摘要
为实现公交车后门智能自动控制,避免由司机人为控制因素所引发的事故,研究设计了基于ARM处理器实现的结合机器视觉的后门智能控制系统。系统以三星的S3C2440芯片为控制器,由视频采集模块、开关控制模块、语音报警电路模块、Linux 2.6.32内核及人体识别算法等软硬件构成,实现对公交系统后门智能控制。系统通过仿真调试,运行可靠、控制准确,具有一定的推广价值。
In order to realize intelligent automatic of the back door of bus, and avoid accidents by artificial control of the driver, the present study designs a back door control system combined with machine vision and based on ARM processors. The system has a controller with S3C2440 chip and includes a series of hardware and software, such as video capture module, switch control module, voice alarm module, Linux 2.6.32 kernel and recognition algorithms. The system realizes intelligent control for the bus back door. The system has been verified by simulation debugging, and proven to be reliable, accurate. Therefore, it is of certain promotional value.
出处
《微型电脑应用》
2017年第6期27-29,共3页
Microcomputer Applications
基金
陕西省教育厅专项科研计划项目(15JK1040)
宝鸡市科学技术研究与发展计划项目(15RKX-1-5-6)
宝鸡文理学院重点项目(ZK16013)
