Machine learning and image processing to monitor strain and tensile forces with mechanochromic sensors

作者：

Highlights：

• A computer vision system monitors the reflected color of mechanochromic sensors.

• Structural color-changing mechanism is related to the applied strain on the sensors.

• Strain is predicted in real-time by a machine-learning model with remarkable accuracy.

• Tensile force can be indirectly estimated by the strain prediction.

摘要

•A computer vision system monitors the reflected color of mechanochromic sensors.•Structural color-changing mechanism is related to the applied strain on the sensors.•Strain is predicted in real-time by a machine-learning model with remarkable accuracy.•Tensile force can be indirectly estimated by the strain prediction.

论文关键词：Sensors,Mechanochromic,Computer vision,Machine learning,Image processing

论文评审过程：Received 14 June 2022, Revised 25 August 2022, Accepted 4 September 2022, Available online 7 September 2022, Version of Record 12 September 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118792