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This paper draws a proposal of a set of parameters and methods for accuracy evaluation of visual inspection systems. The case of a monochrome board is treated, but practically all conclusions and methods may be extended for colour…

Computer Vision and Pattern Recognition · Computer Science 2008-03-04 Radu Arsinte , Costin Miron

Visual defect detection is critical to ensure the quality of most products. However, the majority of small and medium-sized manufacturing enterprises still rely on tedious and error-prone human manual inspection. The main reasons include:…

Computer Vision and Pattern Recognition · Computer Science 2022-02-15 Zijian Kuang , Xinran Tie , Lihang Ying , Shi Jin

Fine grained information flow monitoring can in principle address a wide range of security and privacy goals, for example in web applications. But it is very difficult to achieve sound monitoring with acceptable runtime cost and sufficient…

Cryptography and Security · Computer Science 2016-05-11 Mounir Assaf , David A. Naumann

Quality control is a critical aspect of manufacturing, particularly in ensuring the proper assembly of small components in production lines. Existing solutions often rely on single-view imaging or manual inspection, which are prone to…

Computer Vision and Pattern Recognition · Computer Science 2025-09-30 Ali Nazeri , Shashank Mishra , Achim Wagner , Martin Ruskowski , Didier Stricker , Jason Rambach

Quality control of assembly processes is essential in manufacturing to ensure not only the quality of individual components but also their proper integration into the final product. To assist in this matter, automated assembly control using…

Computer Vision and Pattern Recognition · Computer Science 2025-09-17 Jonas Werheid , Shengjie He , Aymen Gannouni , Anas Abdelrazeq , Robert H. Schmitt

A current trend in industries such as semiconductors and foundry is to shift their visual inspection processes to Automatic Visual Inspection (AVI) systems, to reduce their costs, mistakes, and dependency on human experts. This paper…

Computer Vision and Pattern Recognition · Computer Science 2021-09-22 Masoud Jalayer , Reza Jalayer , Amin Kaboli , Carlotta Orsenigo , Carlo Vercellis

Machine-vision-based defect classification techniques have been widely adopted for automatic quality inspection in manufacturing processes. This article describes a general framework for classifying defects from high volume data batches…

Computer Vision and Pattern Recognition · Computer Science 2023-07-04 Wenbo Sun , Raed Al Kontar , Judy Jin , Tzyy-Shuh Chang

In-situ monitoring incorporating data from visual and other sensor technologies, allows the collection of extensive datasets during the Additive Manufacturing (AM) process. These datasets have potential for determining the quality of the…

Computer Vision and Pattern Recognition · Computer Science 2024-01-30 Xiao Liu , Alessandra Mileo , Alan F. Smeaton

In recent years, the role and the importance of software in the automotive domain have changed dramatically. Being able to systematically evaluate and manage software quality is becoming even more crucial. In practice, however, we still…

Ensuring consistent product quality in modern manufacturing is crucial, particularly in safety-critical applications. Conventional quality control approaches, reliant on manually defined thresholds and features, lack adaptability to the…

Machine Learning · Computer Science 2026-04-09 Bernd Hofmann , Patrick Bruendl , Huong Giang Nguyen , Joerg Franke

This paper provides a novel approach to stitching surface images of rotationally symmetric parts. It presents a process pipeline that uses a feature-based stitching approach to create a distortion-free and true-to-life image from a video…

Computer Vision and Pattern Recognition · Computer Science 2021-06-22 Tobias Schlagenhauf , Tim Brander , Juergen Fleischer

The use of machine learning (ML) methods for development of robust and flexible visual inspection system has shown promising. However their performance is highly dependent on the amount and diversity of training data. This is often…

Computer Vision and Pattern Recognition · Computer Science 2024-10-22 Juraj Fulir , Natascha Jeziorski , Lovro Bosnar , Hans Hagen , Claudia Redenbach , Petra Gospodnetić , Tobias Herrfurth , Marcus Trost , Thomas Gischkat

Preventing fluid penetration poses a challenging reliability concern in the context of power electronics, which is usually caused by unforeseen microfractures along the sealing joints. A better and more reliable product design heavily…

Machine vision applications are low cost and high precision measurement systems which are frequently used in production lines. With these systems that provide contactless control and measurement, production facilities are able to reach high…

Computer Vision and Pattern Recognition · Computer Science 2018-02-19 Mehmet Baygin , Mehmet Karakose , Alisan Sarimaden , Erhan Akin

Quality control is a key activity performed by manufacturing enterprises to ensure products meet quality standards and avoid potential damage to the brand's reputation. The decreased cost of sensors and connectivity enabled an increasing…

Machine Learning · Computer Science 2021-09-07 Elena Trajkova , Jože M. Rožanec , Paulien Dam , Blaž Fortuna , Dunja Mladenić

Visual inspection, or industrial anomaly detection, is one of the most common quality control types in manufacturing. The task is to identify the presence of an anomaly given an image, e.g., a missing component on an image of a circuit…

Computer Vision and Pattern Recognition · Computer Science 2024-08-30 Mykhailo Koshil , Tilman Wegener , Detlef Mentrup , Simone Frintrop , Christian Wilms

Automotive manufacturing assembly tasks are built upon visual inspections such as scratch identification on machined surfaces, part identification and selection, etc, which guarantee product and process quality. These tasks can be related…

Computer Vision and Pattern Recognition · Computer Science 2020-07-07 Muriel Mazzetto , Marcelo Teixeira , Érick Oliveira Rodrigues , Dalcimar Casanova

This paper proposes a method to vibration analysis in order to on-line monitoring of milling process quality. Adapting envelope analysis to characterize the milling tool materials is an important contribution to the qualitative and…

Other Computer Science · Computer Science 2012-01-24 Claudiu-Florinel Bisu , Miron Zapciu , Alain Gérard , V. Vijelea , Marin Anica

As recent trends in manufacturing engineering disciplines show a clear development in the sustainable as well as economically efficient design of forming processes, monitoring techniques have been gaining in relevance. In terms of…

Folding is emerging as a promising manufacturing process to transform flat materials into functional structures, offering efficiency by reducing the need for welding, gluing, and molding, while minimizing waste and enabling automation.…

Soft Condensed Matter · Physics 2025-10-20 João C. Neves , Bernardo R. Marques , Cristóvão S. Dias , Nuno A. M. Araújo
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