Coordinate Metrology and Defected Zone Detection for High Contrasting Surfaces

高对比度表面的坐标计量和缺陷区域检测

• 批准号: 531197-2018
• 负责人: Barari, Ahmad
• 金额: $ 1.63万
• 依托单位: University of Ontario Institute of Technology
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=678939
• 关键词: Coordinate; Metrology; Defected; Zone; Detection

The research collaboration between the research teams from the University of Ontario Institute of Technology (UOIT) led by professor Barari and Bluewrist Inc. started by a NSERC Engage funded project on reducing noises in laser scanning of planar surfaces. The results of the Engage project have been very promising and satisfactory. Bluewrist is expanding its products and activities in the field of automated and robotics inspection and is accepting more challenging task serving various industries. Using the achievements of the NSERC Engage project and considering the new technical challenges in the company, this CRD proposal is prepared. The proposal focuses on solving two complex technical problems in automated laser scanning of the products. The developed solutions are aimed to represent a high level of flexibility in measuring contrasting surfaces with regional characteristics in light reflection, and also will be able to detect and specify the defected zones in the measured surfaces. Bluewrist Inc. is a Canadian - based company focused on automated measurement, production quality control, robotics, and machine vision. Bluewrist's main products include in-line dimensional measurement system, robotic guidance system, automation engine, and communication software. Bluewrist has focused on industrial metrology for advanced manufacturing, and data collection methods for digital manufacturing and Industry 4.0 solutions. In this research collaboration Dr. Barari's research team work collaboratively with Bluewrist's experts to develop robust and reliable solution for laser scanning of high contrasting surfaces and determination of the defected zone using the laser scanning 3D data points. The project's objectives are selected following a term of NSERC Engage project and according to the actual needs of company in conducting high level international projects. This research results in training of highly qualified personnel in digital manufacturing and inspection. It also results in improving the productivity and quality in various Canadian manufacturing industries, including automotive part assembly, material handling, inline dimensional inspection, and industrial robotics.

由Barari教授领导的安大略省理工大学(UOIT)研究团队与Bluewrist Inc.之间的研究合作由NSERC Engage资助的一个项目启动，该项目旨在降低平面激光扫描中的噪音。Engage项目的结果非常有希望和令人满意。Bluewrist正在扩大其在自动化和机器人检测领域的产品和活动，并正在接受更具挑战性的任务，服务于各个行业。利用NSERC Engage项目的成果，并考虑到公司面临的新技术挑战，准备了这份CRD建议书。该提案重点解决了产品激光自动扫描中的两个复杂技术问题。开发的解决方案的目的是在测量具有光反射的区域特征的对比表面时表现出高度的灵活性，并将能够检测和指定被测量表面中的缺陷区域。Bluewrist Inc.是一家总部位于加拿大的公司，专注于自动化测量、生产质量控制、机器人和机器视觉。Bluewrist的主要产品包括直列式尺寸测量系统、机器人导航系统、自动化引擎和通信软件。Bluewrist专注于先进制造的工业计量，以及数字制造和工业4.0解决方案的数据收集方法。在这项研究合作中，Barari博士的研究团队与Bluewrist的专家合作，为高对比度表面的激光扫描开发可靠的解决方案，并使用激光扫描3D数据点确定缺陷区域。该项目的目标是根据公司开展高水平国际项目的实际需要，根据NSERC Engage项目的一段时间选择的。本研究为培养高素质的数字化制造与检测人才奠定了基础。它还提高了加拿大各种制造业的生产率和质量，包括汽车零部件组装、材料处理、在线尺寸检测和工业机器人。