Processing depth distance data to increase precision of multiple infrared sensors in the automatic visual inspection system

Piotr Szablata; Pawel Lakowski; Janusz Pochmara

doi:10.1117/1.OE.56.8.083106

24 August 2017 Processing depth distance data to increase precision of multiple infrared sensors in the automatic visual inspection system

Piotr Szablata, Pawel Lakowski, Janusz Pochmara

Author Affiliations +

Optical Engineering, Vol. 56, Issue 8, 083106 (August 2017). https://doi.org/10.1117/1.OE.56.8.083106

Abstract

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.

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Piotr Szablata, Pawel Lakowski, and Janusz Pochmara "Processing depth distance data to increase precision of multiple infrared sensors in the automatic visual inspection system," Optical Engineering 56(8), 083106 (24 August 2017). https://doi.org/10.1117/1.OE.56.8.083106

Received: 16 May 2017; Accepted: 1 August 2017; Published: 24 August 2017

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