Advances in Machine Vision and Manufacturing Automation

机器视觉和制造自动化的进步

• 批准号: RGPIN-2017-04586
• 负责人: Surgenor, Brian
• 金额: $ 1.6万
• 依托单位: Queen's University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=638392
• 关键词: Advances; Machine; Vision; Manufacturing; Automation

For manufacturers to stay competitive, increased levels of automation are a must for survival. Machine vision (MV) is one of the key tools in the automation toolkit as it provides for image-based inspection and analysis of parts and the machines that produce those parts. The work will be broken down into two projects, and will lead to the training of 2 PhD, 3 MSc and 5 BSc students. The overall goal is to advance the state of the art of MV-based systems with novel algorithms and system designs that will create the basis for greater acceptance of automation technology by Canadian industry.

对于制造商来说，要保持竞争力，提高自动化水平是生存的必要条件。机器视觉（MV）是自动化工具包中的关键工具之一，因为它提供了对零件和生产这些零件的机器的基于图像的检测和分析。这项工作将分为两个项目，并将导致2个博士，3个硕士和5个理学士学生的培训。总体目标是通过新颖的算法和系统设计来推进基于MV的系统的最新技术水平，这将为加拿大工业更大程度地接受自动化技术奠定基础。