Abstract

Abstract. Cameras can provide accurate 3D positioning for a robotic system. Calibration of interior orientation as well as the relative orientation when using multiple cameras is a necessary step. Integration of the automatic calibration process into the robot system is useful to provide a simple system for the user. The paper presents a method for calibrating a multi camera system using the open source Ceres solver and compares it to a commercial software. The motivation is a measurement system for laboratory automation where biological samples in Petri dishes will be manipulated with different tools. For this application we will examine the camera setup, show first results of the calibration and the possible accuracy. Lastly we will draw conclusions for the final system prototype and necessary improvements to be implemented in order to provide accurate measurements.

Highlights

  • Automation of repetitive tasks is used in more and more fields

  • In contrast to the final system all points are in one coordinate system to allow calibration in Aicon 3D Studio as the reference

  • The first comparison between the results of the two multi camera calibration methods shows that the implementation with Ceres is a usable choice for the measurement systems

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Summary

Introduction

Automation of repetitive tasks is used in more and more fields. One example of such a task in laboratories is the test for Legionella contamination while analyzing drinking water. Regular inspections result in a large number of samples to be analyzed constantly. Automation of this process is desirable, in particular for the task of extracting part of a culture from one Petri dish and placing it in a new one. Automated analyses and robotic manipulation of biological samples is applicable to many other fields. Based on previous work (Vogel et al, 2015, Oberthur et al, 2016) the cooperative project 3Dbot focuses on constructing a demonstrator for these tasks

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