An industrial video surveillance system for quality assurance of a manufactory assembly

Sardis, E.; Voulodimos, Athanasios; Anagnostopoulos, Vasileios; Lalos, Constantinos; Doulamis, Anastasios; Kosmopoulos, Dimitrios

doi:10.1145/1839294.1839373

Cited by 5 publications

(3 citation statements)

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“…In this context, some techniques were developed to help the monitoring process. Sardis et al (2010) presented research outcomes of a computer vision system that surveys the behavior of workers in an industrial environment. The proposed system applied weakly supervised learning algorithms able to detect objects, and was then used to extract the behaviors of workers with respect to the predefined assembly construction for a task.…”

Section: Related Workmentioning

confidence: 99%

Rapid video assessment for monitoring testing facility fraud

Souza

Carmo

Pìrmez

2018

IJQRM

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Purpose The purpose of this paper is to present a procedure for finding unusual patterns in accredited tests using a rapid processing method for analyzing video records. The procedure uses the temporal differencing technique for object tracking and considers only frames not identified as statistically redundant. Design/methodology/approach An accreditation organization is responsible for accrediting facilities to undertake testing and calibration activities. Periodically, such organizations evaluate accredited testing facilities. These evaluations could use video records and photographs of the tests performed by the facility to judge their conformity to technical requirements. To validate the proposed procedure, a real-world data set with video records from accredited testing facilities in the field of vehicle safety in Brazil was used. The processing time of this proposed procedure was compared with the time needed to process the video records in a traditional fashion. Findings With an appropriate threshold value, the proposed procedure could successfully identify video records of fraudulent services. Processing time was faster than when a traditional method was employed. Originality/value Manually evaluating video records is time consuming and tedious. This paper proposes a procedure to rapidly find unusual patterns in videos of accredited tests with a minimum of manual effort.

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Section: Related Workmentioning

confidence: 99%

Rapid video assessment for monitoring testing facility fraud

Souza

Carmo

Pìrmez

2018

IJQRM

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“…Fokus dieser Entwicklungen waren stets die drei Bereiche Büro, Unterhaltung oder mobiler Computereinsatz (wearable computing). Der Einsatz von Bewegungserkennung für Produktionsumgebungen wurde zwar bereits 2010 vorgeschlagen -der Fokus lag jedoch auf der Überwachung großer Bereiche (Sardis et al 2010). Die Augmentierung von Produktionsarbeitsplätzen durch Projektion wurde bislang kaum systematisch erforscht.…”

Section: Einleitung Und Motivationunclassified

Augmentierte Produktion. Assistenzsysteme mit Projektion und Gamification für leistungsgeminderte und leistungsgewandelte Menschen

Korn¹,

Abele²,

Schmidt³

et al. 2013

Mensch &Amp; Computer 2013 - Tagungsband

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Sciences 3 Zusammenfassung Assistenzsysteme in der Produktion beschränken sich bislang darauf, den Mitarbeitern Instruktionen zur Montage von Produkten bereitzustellen. Eine Anpassung an ihre körperlichen und geistigen Fähigkeiten findet dabei nicht statt. Auch neue Konzepte der Mensch-Maschine-Interaktion (MMI) finden nur langsam Anwendung. Mit dem Prototypen eines augmentierten Assistenzsystems wurde experimentell untersucht, wie zwei neuere Ansätze der MMI sich auf Personen mit Leistungsminderungen auswirken: Die Projektion von Informationen direkt in den Arbeitsbereich (in-situ) und die Anreicherung von Arbeitsprozessen mit spielerischen Elementen (Gamification).

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“…Multi-frame SR techniques is used in many applications and various fields. For instance, to achieve high recognition rates of the quality assurance in industries [8,9], agricultural surveillance [10], environmental issues [11], security and video surveillance [12,13] and also cultural heritage [14,15], resolution enhancement is therefore necessary. Moreover, to address the hardware limitations and the very expensive price that sophistication of hardware components requires, the SR technique is preferable, namely in areas like medical diagnostics [16] and satellite imaging [17] such as remote sensing and military surveillance, .…”

Section: Introductionmentioning

confidence: 99%

A new denoising model for multi-frame super-resolution image reconstruction

et al. 2017

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Multi-frame image super-resolution (SR) aims to combine the sub-pixel information from a sequence of low-resolution (LR) images to build a highresolution (HR) one. SR techniques usually suffers from annoying restoration artifacts such as noise, jagged edges, and staircasing effect. In this paper, we aim to increase the performance of SR reconstitution under a variational framework using adaptive diffusion-based regularization term. We propose a new tensor based diffusion regularization that takes the benefit from the diffusion model of Perona-Malik in the flat regions and use a nonlinear tensor derived from the diffusion process of weickert filter near boundaries. Thus, the proposed SR approach can preserve important image features (sharp edges and corners) much better while avoiding artifacts. The synthetic and real experimental results show the effectiveness of the proposed regularisation compared to other methods in both quantitatively and visually.

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An industrial video surveillance system for quality assurance of a manufactory assembly

Cited by 5 publications

References 1 publication

Rapid video assessment for monitoring testing facility fraud

Rapid video assessment for monitoring testing facility fraud

Augmentierte Produktion. Assistenzsysteme mit Projektion und Gamification für leistungsgeminderte und leistungsgewandelte Menschen

A new denoising model for multi-frame super-resolution image reconstruction

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