Development of an automated curbside waste collection system based on artificial intelligence

基于人工智能的路边垃圾自动收集系统的开发

• 批准号: 548961-2019
• 负责人: Gadsden, StephenAndrew
• 金额: $ 1.53万
• 依托单位: University of Guelph
• 依托单位国家: 加拿大
• 项目类别: Alliance Grants
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=700374
• 关键词: Development; automated; curbside; waste; collection

The proposed research project includes a partnership between the Intelligent Control and Estimation (ICE) Laboratory (Dr. Gadsden) at the University of Guelph (Guelph, Ontario) and Eagle Vision Systems (Kitchener, Ontario). The primary goal of the collaborative research partnership is to develop an automated waste collection system that is safe and reliable to operate in both residential and commercial settings. This topic is important to Canada for a number of economic, societal, and political reasons. The federal government recently established a strategy on the development and use of AI in Canada. This federal strategy was developed to accomplish four main goals: to increase the number of AI researchers and skilled HQP in Canada; to establish interconnected research hubs throughout the country; to develop leadership on implications of AI to the economy, ethics, policy, and legal fields; and, to support a national AI research community. The expected outcomes and impacts include: 1) automation of curbside waste collection; 2) development of new artificial intelligence (AI) strategies; 3) knowledge transfer activities to other industries such as manufacturing; 4) reduction of curbside waste collection costs to municipalities; and, 5) training of HQP in AI, robotics, and mechatronic systems. The expected outcomes of the proposed research project will positively contribute to Canada's economy and overall goal to be a leader in AI technology.

拟议的研究项目包括圭尔夫大学（圭尔夫，安大略）的智能控制和估计（ICE）实验室（Gadsden博士）与Eagle Vision Systems（Kitchener，安大略）之间的合作。合作研究伙伴关系的主要目标是开发一种在住宅和商业环境中安全可靠的自动废物收集系统。这个问题对加拿大来说很重要，有许多经济、社会和政治原因。联邦政府最近制定了一项关于在加拿大开发和使用人工智能的战略。这一联邦战略旨在实现四个主要目标：增加加拿大人工智能研究人员和熟练HQP的数量;在全国建立相互联系的研究中心;发展人工智能对经济，道德，政策和法律的领域影响的领导力;以及支持国家人工智能研究社区。预期成果和影响包括：1）路边垃圾收集自动化; 2）开发新的人工智能（AI）战略; 3）向制造业等其他行业进行知识转移活动; 4）降低市政当局的路边垃圾收集成本;以及5）在AI，机器人和机电系统方面对HQP进行培训。拟议研究项目的预期成果将为加拿大的经济和成为人工智能技术领导者的总体目标做出积极贡献。