Development of the sorting system using laser 3D shape measurement technique

2017 Fiscal Year Final Research Report

• Project/Area Number: 15H02851
• Research Category: Grant-in-Aid for Scientific Research (B)
• Allocation Type: Single-year Grants
• Section: 一般
• Research Field: Environmental conscious materials and recycle
• Research Institution: National Institute of Advanced Industrial Science and Technology
• Principal Investigator: KOYANAKA Shigeki 国立研究開発法人産業技術総合研究所, エネルギー・環境領域, 研究グループ長 (60357035)
• Co-Investigator(Renkei-kenkyūsha): Shibata Junji 関西大学, 環境都市工学部, 教授 (70067742)
• Research Collaborator: Harita Makoto
• Project Period (FY): 2015-04-01 – 2018-03-31
• Keywords: 廃棄物再資源化 / 環境技術 / 分離精製 / 輸送機器

Outline of Final Research Achievements

In order to largely improve processing capacity per time of the ARENNA (Appearance Recognition with Neural Network Analysis) sorter, an identification algorithm using Bayes’ theorem was discussed. By increasing the number of scrap features recognized by the 3D shape measurement system of the ARENNA sorter, an identification algorithm that can process multiple scraps at the same time without weight measurement were developed. Finally, processing ability of the new ARENNA sorter was confirmed in ELV recycling facility.

Free Research Field

資源リサイクリング工学