Intelligent Machine Vision and Smart Sensing Laboratory

Broad research interests of IMVSS Laboratory include AI-enhanced Machine Vision, Cross-scale Metrologies, Smart Sensor Design, and Intelligent Sensing Strategies. The lab has investigated Machine Vision, Sensing and Control, and Artificial Intelligence for real-time and non-destructive monitoring which will enable accurate perception in various applications. Our research goal is to investigate artificial intelligence and machine vision technologies to establish new analysis strategies for smart sensors. 

Jinghao Yang
Assistant Professor, Electrical and Computer Engineering
The University of Texas Rio Grande Valley