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Picking Assistance System with MS-KINECT and Projection Mapping

Authors:
Yuki Takehara
Yoshitoshi Murata
Takamichi Yoshikawa

Keywords: Smart factory, Industry 4.0, picking; KINECT, projection mapping

Abstract:
Industry 4.0 is a well-regarded concept for automation in manufacturing. However, a shortage of high-skilled workers has necessitated realistic solutions for establishing high productivity and quality. We propose an information and communications technology (ICT) picking assistance system to lower human errors for high quality. In this system, MS-KINECT detects whether a hand is inserted into the correct cell of a shelf to pick items and whether a hand is inserted into the correct box in a cart to put items in. The miss-detection rate for wrong operation in the picking process is very low in an experimental evaluation, and we expect it to be very close to zero in a near future. We determine that the proposed picking error detection function would be useful for business. However, we must improve the delivery detection accuracy because of its higher detection error rate in an experimental evaluation. In this system, projection mapping technologies are used to indicate which cell items should be picked from, instead of using a lamp. The indicating system which uses a projector lowers the introduction cost than existing one when compared to the existing system using a lamp. We clarified that gray sandpaper is one of the best materials to serve as a tag for MS-KINECT to recognize indicated colors and digits.

Pages: 218 to 223

Copyright: Copyright (c) IARIA, 2018

Publication date: March 25, 2018

Published in: conference

ISSN: 2308-4138

ISBN: 978-1-61208-616-3

Location: Rome, Italy

Dates: from March 25, 2018 to March 29, 2018