Processing depth distance data to increase precision of multiple infrared sensors in the automatic visual inspection system
作者: Piotr SzablataPaweł ŁąkowskiJanusz Pochmara
作者单位: 1Poznan University of Technology
刊名: Optical Engineering, 2017, Vol.56 (8), pp.083106-083106
来源数据库: SPIE-the International Society for Optical Engineering
DOI: 10.1117/1.OE.56.8.083106
关键词: visual inspectioninfrareddepth sensorsignal smoothingRealSenseautomated optical inspection
原始语种摘要: Infrared depth recognition technology with an efficient custom-made signal smoothing algorithm is used as a base for a precise inspection system. The main purpose of this paper is to introduce the basics of an algorithm that will improve precision and stabilize distance measurements in projects with camera image and depth sensors. Such results are within the reach of currently available hardware but not with the available software, for which there is a lack of suppliers support. The second goal is to prove that golden sample data matrix compiled from multiple sensors data can be taken into consideration as a simple and general automated optical inspection system.
全文获取路径: SPIE  (合作)

  • inspection 检查
  • precision 精度
  • system 
  • multiple 多次的
  • automatic 自动的
  • increase 增加
  • stabilize 稳定
  • prove 实验
  • general 普遍的
  • purpose 目的