The following information was submitted:
Transactions: INTERNATIONAL JOURNAL of SYSTEMS ENGINEERING, APPLICATIONS AND DEVELOPMENT
Transactions ID Number: 19-142
Full Name: olivier Demuynck
Position: Researcher
Age: ON
Sex: Male
Address: IDC Tecnologia. TecnoAlcala. C/ Punto Mobi, 10. 28805 ALCALA DE HENARES. (Madrid)
Country: SPAIN
Tel: 918796046
Tel prefix: 34
Fax: 918796047
E-mail address: odemuynck@idc.es
Other E-mails: odemuynck@hotmail.com
Title of the Paper: Edge based 3D object localization for fast and precise industrial machine vision applications
Authors as they appear in the Paper: O. DEMUYNCK, C. PACHECO CEDEÑO, A. L. MOORE
Email addresses of all the authors: odemuynck@idc.es,cpachecocu@gmail.com,almoore@mit.edu
Number of paper pages: 8
Abstract: Machine Vision for industrial applications requires simple-to-use and robust solutions. Usually industrial machine vision solutions are reduced to a simple 2D application, for which algorithm robustness has already been fully demonstrated, and where a key part of all those visual inspection systems is the efficient illumination control systems that ensure the repeatability of captured image intensity. Nevertheless these projects sometimes require the 3D information for applications such as pick and place robotics, and this field of applications is not yet covered by most of the commercial industrial vision brands. We present in this paper a new fast, precise and robust 3D localization method based on object edge. This process offers an infinite number of possible cases of industrial applications when 3D localization is required, but could also be employed for classification since 3D localized object conserves its almost whole extracted edge. For example, in case of!
the food industry, fruits are selected depending on their size and could require a 3D localization process because of the random distribution on a conveyor belt. The presented industrial machine vision system is easy and fast to implement. As detailed in the final part of this paper, the computed statistics demonstrate the robustness and precision of this system, which results an inexpensive solution for industrial applications.
Keywords: 3D edge localization, 3D edge classification, Industrial machine vision
EXTENSION of the file: .pdf
Special (Invited) Session: Industrial Machine Vision System for Fast and Precise 3D Object Localization
Organizer of the Session: 618-441
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