Traditional vision based Automated Optical Inspection (referred to as AOI in paper) systems present multiple challenges in factory settings including inability to scale across multiple product lines, requirement of vendor programming expertise, little tolerance to variations and lack of cloud connectivity for aggregated insights. The lack of flexibility in these systems presents a unique opportunity for a deep learning based AOI system specifically for factory automation. The proposed solution, VizInspect pro is a generic computer vision based AOI solution built on top of Leo - An edge AI platform. Innovative features that overcome challenges of traditional vision systems include deep learning based image analysis which combines the power of self-learning with high speed and accuracy, an intuitive user interface to configure inspection profiles in minutes without ML or vision expertise and the ability to solve complex inspection challenges while being tolerant to deviations and unpredictable defects. This solution has been validated by multiple external enterprise customers with confirmed value propositions. In this paper we show you how this solution and platform solved problems around model development, deployment, scaling multiple inferences and visualizations.
翻译:基于传统视觉的自动光学检查(在纸面上称为AOI)系统在工厂环境中提出了多重挑战,包括无法跨越多种产品系列,需要供应商编程专门知识,对变化缺乏容忍度,缺乏云层连通性以综合洞见;这些系统缺乏灵活性,为基于深层次学习的AOI系统提供了独特的机会,专门用于工厂自动化。拟议解决方案VizInspect pro是建立在Leo - 一个边缘AI平台之上的基于通用计算机视觉的AOI解决方案。克服传统视觉系统挑战的创新特征包括基于深层次学习的图像分析,这种分析将自学和高速度和精度相结合,一个直观的用户界面,在没有ML或视觉专门知识的情况下在几分钟内配置检查概况,以及解决复杂的检查挑战的能力,同时对偏差和不可预测的缺陷持容忍态度。这一解决方案得到了多个具有确认价值主张的外部企业客户的验证。在这份文件中,我们向各位展示了这一解决方案和平台如何解决模型开发、部署、扩大多重推理和直观问题。