earticle

영어

Recently, with the development of the systems that support tracking of various objects and the component technology of Internet of Things (IoT), the use of tracking system is increasing in social infrastructures and various industrial sectors. With the application of the IT technology that can manage the movement of objects in real time in industrial sites, the sectors where the technology of tracking system can be applied are expanding. However, to satisfy the various demands of industrial sites, the existing tracking system has many technological problems. For example, due to the technological problems in solving spatial errors and errors related to time, there are limitations in introducing object-based tracking system in the medical industry or industrial sites with high risks, and these errors, when involved in service sectors, can seriously hurt customers’ reliability. Also, even in sectors where error range is not important, there are many problems such as high power consumption, high utilization of data, and the trouble of object tracking in some locations. Analyzing problems such as errors of tracking, power consumption, data use, and situations where object-tracking is not supported, this study tried to reduce error range and design and develop an intelligent smart tracking system that minimizes data use with low-power base.