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Robot-assisted, source-camera-coupled multi-view broadband imagers for ubiquitous sensing platform.

Kou Li1, Ryoichi Yuasa1, Ryogo Utaki1

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|May 22, 2021
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A new robot-assisted platform enables multi-view broadband photo-monitoring for non-destructive testing of 3D industrial components. This system offers location-independent, high-speed, and omni-directional examinations, enhancing safety-net sensor networks.

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Area of Science:

  • Optoelectronics
  • Robotics
  • Materials Science

Background:

  • Universal safety-net sensor networks require advanced optical information gathering.
  • Current multi-view monitoring lacks environmental independence and comprehensive target analysis.

Purpose of the Study:

  • To develop a versatile, robot-assisted platform for multi-view stereoscopic broadband photo-monitoring.
  • To enable non-destructive, environment-independent examination of arbitrarily structured targets.

Main Methods:

  • Design of a robot-assisted platform with integrated photo-source and imager.
  • Utilisation of a photo-thermoelectric device based on flexible carbon nanotube films.
  • Development of a portable system using 3D printing and UV processing for attachable imagers and sources.

Main Results:

  • Demonstration of a switchable reflective and transmissive mode multi-view monitoring platform.
  • Successful non-destructive, target-structure-independent multi-view examinations of 3D industrial components.
  • Achieved location-independent operation for unmanned, remote, high-speed, omni-directional testing.

Conclusions:

  • The developed platform provides a robust solution for comprehensive optical information acquisition.
  • The system facilitates advanced non-destructive testing for industrial applications.
  • This technology advances the development of universal safety-net sensor networks.