Presentation 2022-05-27
Research on work support for assembly processes using deep learning technology
Takao Inoue,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Development of human resources, which is a strength of Japanese SMEs, In order to support work by the assembly process for the work of newcomers. From deep learning using YOLO, work procedures are combined with the arrangement of objects in manufacturing. Is it possible to support work by performing object detection? We conducted an evaluation experiment and studied the usefulness of the method.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) deep learning / work support / assembly process
Paper # LOIS2022-2
Date of Issue 2022-05-19 (LOIS)

Conference Information
Committee LOIS / IPSJ-SPT / IPSJ-GN
Conference Date 2022/5/26(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Toru Kobayashi(Nagasaki Univ.) / / 井上 智雄(筑波大)
Vice Chair Hiroyuki Toda(NTT)
Secretary Hiroyuki Toda(Nagasaki Univ.) / (NTT)
Assistant Kazuki Fukae(Nagasaki Univ.)

Paper Information
Registration To Technical Committee on Life Intelligence and Office Information Systems / Special Interest Group on Security Psychology and Trust / Special Interest Group on Groupware and Network Services
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Research on work support for assembly processes using deep learning technology
Sub Title (in English)
Keyword(1) deep learning
Keyword(2) work support
Keyword(3) assembly process
1st Author's Name Takao Inoue
1st Author's Affiliation SYSTEC INOUE CORPORATION(SYSTEC INOUE)
Date 2022-05-27
Paper # LOIS2022-2
Volume (vol) vol.122
Number (no) LOIS-47
Page pp.pp.7-10(LOIS),
#Pages 4
Date of Issue 2022-05-19 (LOIS)