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Real-time multiaxial strain mapping using computer vision integrated optical sensors

Engineering and Technology

Real-time multiaxial strain mapping using computer vision integrated optical sensors

S. Hong, V. P. Rachim, et al.

Discover a groundbreaking CVOS sensor system that harnesses computer vision for enhanced strain detection and real-time multiaxial strain mapping. Developed by a team of experts including Sunguk Hong and Vega Pradana Rachim from POSTECH, this innovative approach promises to transform human-machine interfaces with its sensitivity and scalability.

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Playback language: English
Abstract
This study presents a computer vision-based optical strain (CVOS) sensor system that integrates computer vision with streamlined microfabrication techniques to overcome challenges associated with soft strain sensors, such as low reproducibility, susceptibility to environmental noise, and short lifetimes. The CVOS sensor uses an easily fabricated soft silicone substrate with micro-markers and a tiny camera for highly sensitive marker detection. Real-time multiaxial strain mapping enables measurement of complex multi-directional strain patterns, increasing scalability. Results indicate the CVOS sensor is a promising approach for developing highly sensitive and versatile human-machine interfaces.
Publisher
npj Flexible Electronics
Published On
Jul 10, 2023
Authors
Sunguk Hong, Vega Pradana Rachim, Jin-Hyeok Baek, Sung-Min Park
Tags
computer vision
strain sensing
microfabrication
human-machine interfaces
soft sensors
real-time mapping

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