Vision-Based Force Feedback System Using Moiré Patterns

Abstract

This paper proposes a novel force feedback system based on visual processing and Moiré patterns. The system uses a force sensor with a simple and efficient structure to eliminate the need for cables or other electronic components. A brass flexure plate was employed as the primary elastic element, leveraging the Moiré fringe principle for force measurements. High-speed cameras are used to capture real-time images that are then processed using advanced algorithms to accurately extract force data. Force feedback experiments were conducted to evaluate the performance of the proposed system, and the results were compared with those taken from conventional force sensors. The experimental results indicated that the proposed device consistently delivered precise target force outputs with outcomes that closely matched those obtained using traditional sensors. In addition, the system demonstrated robust performance in high-frequency measurements at 500 Hz, achieving an average force- feedback convergence time of approximately 0.1s.