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: $ 1.31万
• 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: 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=644604
• 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教授和Bluewrist Inc.领导的安大略大学理工大学（UOIT）的研究团队之间的研究合作由NSERC参与者资助的项目启动，以减少平面表面激光扫描的声音。参与项目的结果非常有前途和令人满意。 Bluewrist正在自动化和机器人检查领域扩展其产品和活动，并接受为各种行业服务的更具挑战性的任务。利用NSERC参与项目的成就并考虑公司中的新技术挑战，准备了这项CRD建议。该提案着重于解决产品自动激光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光反射中具有区域特征的对比度方面的高度灵活性，并且还将能够检测和指定测得的表面中的缺陷区域。 Bluewrist Inc.是一家加拿大的公司，专注于自动测量，生产质量控制，机器人技术和机器视觉。 Bluewrist的主要产品包括在线维度测量系统，机器人指导系统，自动化引擎和通信软件。 Bluewrist专注于用于高级制造的工业计量学，以及用于数字制造和行业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，为激光扫描高对比度表面的激光扫描以及使用激光扫描3D数据点确定缺陷区域。该项目的目标是在NSERC参与项目任期后选择的，并根据公司在进行高级国际项目中的实际需求。这项研究导致对数字制造和检查中高素质的人员进行培训。它还可以提高加拿大各种制造业的生产率和质量，包括汽车零件组件，材料处理，内线维度检查和工业机器人技术。****************