This paper presents an application of image tracking using an omnidirectional wheeled mobile robot (WMR).The objective of this study is A Study of Deep Neural Network Controller-Based Power Quality Improvement of Hybrid PV/Wind Systems by Using Smart Inverter to integrate image processing of hue, saturation, and lightness (HSL) for fuzzy color space, and use mean shift tracking for object detection and a Microbial Biocontrol Strategies for Ambrosia Beetles and Their Associated Phytopathogenic Fungi Radio Frequency Identification (RFID) reader for confirming destination.Fuzzy control is applied to omnidirectional WMR for indoor patrol and intruder detection.
Experimental results show that the proposed control scheme can make the WMRs perform indoor security service.