@techreport{oai:ipsj.ixsq.nii.ac.jp:00217454,
 author = {森茂, 智彦 and 山口, 穂高 and 藤巻, 吾朗 and 生駒, 晃大 and Tomohiko, Morimo and Hodaka, Yamaguchi and Goroh, Fujimaki and Akihiro, Ikoma},
 issue = {35},
 month = {Mar},
 note = {木製家具製造業における棚卸時の部材の在庫数をカウントするための支援 Web アプリケーションを開発してきた．このアプリケーションでは，画像認識により検出した部材に自動で印を付け，未検出や誤検出のものは後から修正する．この修正は人が行うため，修正ミスが発生する可能性がある．そこで本研究では，画像を格子線により小分けにすることで，より効率的に修正作業が行えるか検討を行った．格子の有無による未修正の数と作業時間の違いを比較した結果，格子線により小分けにすることで，未修正の数を減らせることがわかった．, We have developed a web application to support inventory process by counting stocked parts for wooden furniture manufacturing. In this application, parts detected by image recognition are automatically marked, and undetected or incorrect detected parts are corrected later. Since this correction is done manually, there is a possibility that a human error may occur. In this study, we investigated whether the correction work can be done more efficiently by dividing the image into small parts using grid lines. As a result of comparing the difference in the number of uncorrected images and the work time between images with and without grid lines, it was found that the number of uncorrected images could be reduced by dividing the images into small parts with grid lines.},
 title = {木製部材の画像認識結果への修正作業に対する格子線の影響},
 year = {2022}
}