A challenge to apply deep learning-based computer vision technologies for assembly quality inspection lies in the diverse approaches and restricted annotated training data. This paper describes a method overcoming by an unsupervised domain adaptive object detection model on synthetic images generated from CAD models unannotated captured cameras. On case study of pedal car front-wheel assembly, ...

Sensor and Information fusion is recently a major topic not only in traffic management, military, avionics, robotics, image processing, and e.g. medical applications, but becomes more and more important in machine diagnosis and conditioning for complex production machines and process engineering. Several approaches for multi-sensor systems exist in the literature (e.g. Hall, 2001; Bossé, 2007)....

In this work we present an scalable ultrasound data processing architecture, developed by INTERLAB Ingeniería Electrónica y de Control SA with the requirements of modern ultrasound inspection systems in mind. The multi-channel processing architecture presented herein has been successfully applied to the development of a variety of industrial ultrasonic inspection systems, ranging from 5-channel...

As the popularity of software grows so does the need for quality. In many contexts software inspections have become or are becoming an important part of the quality assurance effort for software products. Software inspections continue to spread across the industry. Inspections are a process whereby software artifacts are examined by a group of inspectors to ensure that they meet some set of qua...

This paper theoretically and empirically examines the conventional wisdom in procurement management that often portrays supply inspections and supplier plant inspections as substitutes. We develop a theoretical model that focuses on potential internal spillover costs of the buyer receiving low-quality inputs and external spillover costs should low-quality inputs go undetected. Key to our analys...