Internet of things control mechanism based on controlled object information perception and multimode image signal processing

Abstract

With the scale increase of the internet of things (IOT) control system, the difficulty of information acquisition and image processing for controlled objects increases gradually. To solve the above problems, we proposed a stable and robust IOT control system based on the controlled object information sensing algorithm and multi-mode image signal processing. Firstly, a perceptual real-time control algorithm for the controlled objects information is indicated for controlling, monitoring and maintaining the moving objects at anywhere and anytime. Secondly, in the target location 3D area, the pixels of the controlled object are collected. These pixels are combined with the data characteristics of controlled objects to accurately describe the controlled targets. The multi-mode image signal of the controlled object was computed and processed in the multi-dimensional localization region of the image in real time. Finally, the data acquisition accuracy, signal processing accuracy and system execution efficiency of the proposed scheme were analyzed by mathematical analysis and field experiments. The results show that the proposed algorithm and the designed control mechanism of the IOT have good real-time performance, accuracy and robustness.