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2016 Fiscal Year Final Research Report

A study on process control using image analysis to reduce work error

Research Project

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Project/Area Number 15K12464
Research Category

Grant-in-Aid for Challenging Exploratory Research

Allocation TypeMulti-year Fund
Research Field Social systems engineering/Safety system
Research InstitutionKeio University

Principal Investigator

Shida Keisuke  慶應義塾大学, 理工学部(矢上), 准教授 (40365028)

Project Period (FY) 2015-04-01 – 2017-03-31
Keywords工程管理 / 作業ミス / 画像解析
Outline of Final Research Achievements

The purpose of this study is to reduce a work error such as an error in the assembly order of parts, a forgetting to install the parts. In particular, in this research, we examined the camera position to capture the work in two ways. One is estimating work contents by installing the camera on the ceiling and analyzing the image. The other is estimating work contents by the wearable camera and analyzing the image.

Free Research Field

インダストリアル・エンジニアリング

URL: 

Published: 2018-03-22  

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