基于物联网视觉的旅游景区异常情况图像自动识别系统设计

摘要

物联网视觉是新兴的信息感知技术，其可保证旅游景区异常情况图像的准确、高效识别。因此，设计基于物联网视觉的旅游景区异常情况图像自动识别系统。该系统采用图像采集预处理平台中的PIPER物联网智能摄像头采集旅游景区图像，并利用图像拆分方法筛选出异常情况图像。图像识别平台利用物联网射频识别技术，为图像采集预处理平台筛选出的异常情况图像，并提供惟一编码。系统通过编码确定异常情况位置，并给出处理意见。系统通过图像采集预处理平台的图像拆分目标函数，实现图像拆分工作的高品质运行。经实验验证可知，所设计的系统能够对旅游景区异常情况图像进行准确、高效识别。%The Internet of Things(IOT)vision is an emerging information perception technology,which can guarantee the accurate and efficient image identification of the tourist attraction abnormalities. An IOT vision based image automatic identifica⁃tion system for tourist attraction abnormalities was designed. The IOT smart camera PIPER in image acquisition pre⁃processing platform is adopted in the system to acquire the image of the tourist attraction,and the image splitting method is used to screen out the abnormal image. The IOT⁃based radio frequency identification(RFID)technology is employed in the image recognition platform to screen out the abnormal image for the image acquisition pre⁃processing platform,and provide the unique encoding. The location of the abnormalities is determined by means of the encoding and a processing suggestion is given by the system. The system target function is split according to the image of the image acquisition pre⁃processing platform to realize the high⁃quality running of the image splitting work. The experimental verification result shows that the system can identify the abnormali⁃ties image of the tourist attraction accurately and efficiently.