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

• Project/Area Number: 15K12464
• Research Category: Grant-in-Aid for Challenging Exploratory Research
• Allocation Type: Multi-year Fund
• Research Field: Social systems engineering/Safety system
• Research Institution: Keio 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
• Project Status: Completed (Fiscal Year 2016)
• Budget Amount: ¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000); Fiscal Year 2016: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000); Fiscal Year 2015: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
• 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.