@misc{23428c8d393a4330a6fb383171c29e75,
title = "Improvements in Mirror Surface Measurement with Reflected Computer Vision Targets",
abstract = "Over the last several years, NREL has been developing a system to measure large optical surfaces of heliostat mirrors by reflecting computer vision targets. An advantage of this system, called Reflected Target Nonintrusive Assessment (ReTNA), is that it lends itself well to stitching together many images, each reflecting only part of a larger heliostat. In the last few months, this was taken to a new extreme, with a small target (<5m2) being used to measure a >25m2 long focal length heliostat. These measurements were compared with traditional fringe deflectometry methods, which require a >50m2 target, and photogrammetry. The strengths, weaknesses and limitations of ReTNA are discussed. An estimated uncertainty in this new measurement is presented, along with software improvements and a new wireless data collection system. A bill of materials for this measurement system is presented, which has been designed to use all low-cost, off-the-shelf components. Finally, the next steps for future ReTNA development are presented. Overall, ReTNA can be a valuable optics measurement system, complimentary to existing measurement techniques available for large reflective surfaces.",
keywords = "computer vision, concentrated solar, deflectometry, Heliostat, optics, photogrammetry, ReTNA",
author = "Devon Kesseli and Qiaojie Zheng and Milo Davis",
year = "2025",
language = "American English",
series = "Presented at the SPIE Optics + Photonics Conference, 3-7 August 2025, San Diego, California",
type = "Other",
}