Prototyping an AI-powered robotic picker for sorting shredded aluminum

制作用于分类铝丝的人工智能机器人拾取器原型

• 批准号: 531437-2018
• 负责人: Fennessy, Barbara
• 金额: $ 1.82万
• 依托单位: Conestoga College Institute of Technology & Advanced Learning
• 依托单位国家: 加拿大
• 项目类别: Applied Research and Development Grants - Level 1
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=650616
• 关键词: Prototyping; AI; powered; robotic; picker

eCycle Solutions operates multiple asset recovery and electronics and electrical equipment recycling facilities**across Canada. eCycle Solutions is privately held, Canadian owned with over 400 employees and 300 metric**tonnes of daily processing capacity, with over 350,000 sq/ft of warehousing and processing space across all sites.**Traditionally, at Waste Electrical and Electronic Equipment (WEEE) recycling facilities, outdated waste electronics**are shredded in order to liberate their materials. The objective is to then separate these shredded pieces based**on their material type to produce pure commodities. To accomplish this, a variety of sorting technologies are used**to separate these materials, however, contamination is prevalent due to inefficiencies in these technologies. To**address this contamination, workers manually remove pieces from the material stream. This process is labourintensive,**time-consuming, monotonous, repetitive, and not cost effective.**Conestogas proposed solution for this project is to develop a pick-n-place robot as a mechanical picker, which**is capable of sorting shredded waste electronics utilizing a Convolutional Neural Network (CNN). The CNN will**"train" the robot so that it will mimic the capability of the human operator and "learn" based on experience. This**will result in increased purity rates and processing speeds, and will enable much of the labour force to deployed to**other tasks, which will lead to reduced processing costs, and increased profitability.

Ecycle Solutions运营着多个资产回收，电子设备和电气设备回收设施**。 Ecycle Solutions是私人持有的，加拿大拥有400多名员工和300吨的日常处理能力，拥有超过350,000平方英尺/英尺的仓库和处理空间。目的是将这些基于这些切碎的碎片分开，以产生纯商品的材料类型。为此，使用多种排序技术来分开这些材料，但是，由于这些技术的效率低下，污染很普遍。为了解决这种污染，工人可以手动从材料流中删除碎片。这个过程是劳动力的，**时必的，单调的，重复的，并且没有成本效益。美国有线电视新闻网（CNN）将**“训练”机器人，以便根据经验模仿人类操作员的能力并“学习”。这个**将导致纯度率和加工速度提高，并使大部分劳动力能够部署到其他任务，这将导致加工成本降低和提高盈利能力。