External visual observers for understanding manufacturing operations & predicting faults

ATS自动化工具系统公司为工厂设计和自动化提供解决方案。他们的生命科学部门为医疗器械、制药和诊断领域的世界领先公司提供制造解决方案。ATS还为运输、能源以及消费和电子行业开发自动化系统。滑铁卢大学的视觉图像处理(VIP)实验室致力于了解视觉过程，并为图像和视频处理以及智能系统中的突出问题找到解决方案。ATS目前在机器视觉监控中除了使用其他传感器外，还使用摄像头传感器。制造机器生产后，很难为现有机器改装新的传感器。该项目将探索可以放置在机器周围的外部观察摄像头，了解什么是正常操作，并能够检测和预测异常操作。VIP有三种机器场景：(1)传输系统；(2)装配机；(3)碗喂料机。然而，VIP希望通过提供基于人工智能的算法来理解过程，包括制造过程组件和部件的视觉场景，从而提高健壮性和准确性。

ATS Automation Tooling Systems Inc. provide solutions for factory design and automation. Their life sciences division provides manufacturing solutions for world leading companies engaged in medical devices, pharmaceuticals & diagnostics. ATS also develops automation systems for the transportation, energy as wellsthe consumer & electronics sectors. The Vision Image Processing (VIP) lab at the University of Waterloo isdedicated to understanding visual processes and finding solutions for the outstanding problems in image andvideo processing and intelligent systems. ATS currently utilizes camera sensors in machine vision monitoringof existing processes in addition to a collection of other sensors.After a manufacturing machine is produced, it is difficult to retrofit an existing machine with new sensors. This project will explore external observing cameras that can be placed around the machine and learn what is the normal operation and be able to detect and predict anomalous operations. There are three machine scenarios of interest: (1) a conveyor system; (2) an assembly machine; and (3) a bowl feeder machine.however VIP hopes to improve robustness and accuracy by providing AI based algorithmsthat understand the process including the visual scene landscape of the manufacturing process components andparts.