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Top1. Introduction
The Web of Things (WoT) refers to real-time acquisition of any objects or processes that need to be monitored, connected, and interacted through various information sensors. Specifically, it collects various required information such as sound, light, heat, electricity, mechanics, chemistry, biology, location, etc., and realizes the ubiquitous connection between things and things, things and people, and realizes the intelligent perception, recognition and management of things and processes. The WoT is an information carrier based on the internet and traditional telecommunications networks, which allows all ordinary physical objects that can be independently addressed to form an interconnected network (Liu 2011). In 1999, the Massachusetts Institute of Technology established the “Automatic Identification Center” and proposed that “everything can be connected through the network”, which clarified the basic meaning of WoT (Liu 2012). Compared with the traditional internet, WoT has its own distinctive features. First of all, it is a wide application of various perception technologies. A large number of sensors of various types are deployed on the WoT, each sensor is an information source, and different types of sensors capture information in different formats. The data obtained by the sensor is of real-time nature, collecting environmental information periodically at a certain frequency and continuously updating the data. Secondly, the WoT not only provides the connection of sensors, it also has the ability of intelligent processing, which can implement intelligent control of objects. The WoT combines sensors and intelligent processing, and uses various intelligent technologies such as cloud computing and pattern recognition to expand application areas. WoT analyzes and processes meaningful data from the massive information obtained from sensors to adapt to different needs and discover new application fields and application modes. In the world of WoT, all sensing devices are connected to form a multi-tactile sensing network. This requires our sensing devices not only to “feel” but also to “recognize” and “analyze”, and transmit the information after identification and analysis to the back, the end uses the center to prepare for decision-making. And video data has become the key target of intelligent recognition due to its unique analytical and image processing technology accumulation.