Camera 3D positioning mixed reality-based interface to improve worker safety, ergonomics and productivity

Muñoz, Adolfo; Martí, Amparo Pons; Mahiques, Xavier; Gracia, Luis; Solanes, J. Ernesto; Tornero, Josep

doi:10.1016/j.cirpj.2020.01.004

Cited by 15 publications

(16 citation statements)

References 24 publications

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“…In this context, it is worth noting that research is currently being carried out to develop methods of active evaluation and workpiece positioning in machining space with various types of measurement systems. Trials of such applications with optical scanners have been presented in [7,8], test results of measurement strategy for quick determination of blank position in [9], accuracy assessment of optical measurements in machining space in [14] and minimizing errors of fixturing by adjusting the machining coordinate frame [15]. Optical systems in quality control of cast blanks are successfully used for large-size workpieces [16], simultaneously allowing detection of specific defects, such as moulding sand contamination of the casting [16].…”

Section: Introductionmentioning

confidence: 99%

Accuracy of the New Method of Alignment of Workpiece Using Structural-Light 3D Scanner

Gessner¹,

Ptaszyński²,

Adam³

2022

Adv. Sci. Technol. Res. J.

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This paper presents a new method of aligning workpieces for machining by means of optical measurements followed by the results of verifi cation tests of this method. The overview of modern assessment methods of irregularly shaped blanks are discussed in this study, with particular emphasis on cast iron castings, as well as on problems related to their positioning and fi xing for machining. A fl owchart of the proposed method and its verifi cation results in industrial conditions are also presented. The essence of the method is based on the comparison of two spatial models: a designed workpiece model and the actual model of a casting produced with a coordinate measuring technique. A series of six iron castings were tested. The obtained results indicate that the errors caused by locating amounted to a maximum of 2 mm (average 0.5 mm) and were three times lower than actual machining allowances. This points to the correctness of the developed method and the great potential for its industrial application. Additionally, a method for improving locating accuracy by modifying the shape of the retaining pin is presented.

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Section: Introductionmentioning

confidence: 99%

Accuracy of the New Method of Alignment of Workpiece Using Structural-Light 3D Scanner

Gessner¹,

Ptaszyński²,

Adam³

2022

Adv. Sci. Technol. Res. J.

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“…In addition, their portability, cross-platform development, cost and capabilities also make them promising alternatives to HMDs [77,195]. However, in tasks or activities requiring both free hands and intensive manual interaction on the shopfloor, such as assembly [160], quality control [30,194], etc., HHDs were not an appropriate selection in some cases.…”

Section: Display Devicesmentioning

confidence: 99%

“…to measure the ease of adaption of AR-based systems. Thus, the system flaws can be identified at the early stages of development [194].…”

mentioning

confidence: 99%

“…In terms of effectiveness evaluation, quantitative methods such as descriptive statistics, t-test and analysis of variance (ANOVA) were applied in several studies included in this SLR [92,188,195]. Regarding usability evaluation, two standard questionnaires, which are NASA Task Load Index (NASA-TLX) and the System Usability Scale (SUS), are usually utilized [194,220]. The NASA-TLX questionnaire is widely used to evaluate physical and digital experiences in working environments.…”

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confidence: 99%

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Study of Augmented Reality Based Manufacturing for Further Integration of Quality Control 4.0: A Systematic Literature Review

Albajez

Santolaria

et al. 2022

Applied Sciences

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Augmented Reality (AR) has gradually become a mainstream technology enabling Industry 4.0 and its maturity has also grown over time. AR has been applied to support different processes on the shop-floor level, such as assembly, maintenance, etc. As various processes in manufacturing require high quality and near-zero error rates to ensure the demands and safety of end-users, AR can also equip operators with immersive interfaces to enhance productivity, accuracy and autonomy in the quality sector. However, there is currently no systematic review paper about AR technology enhancing the quality sector. The purpose of this paper is to conduct a systematic literature review (SLR) to conclude about the emerging interest in using AR as an assisting technology for the quality sector in an industry 4.0 context. Five research questions (RQs), with a set of selection criteria, are predefined to support the objectives of this SLR. In addition, different research databases are used for the paper identification phase following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) methodology to find the answers for the predefined RQs. It is found that, in spite of staying behind the assembly and maintenance sector in terms of AR-based solutions, there is a tendency towards interest in developing and implementing AR-assisted quality applications. There are three main categories of current AR-based solutions for quality sector, which are AR-based apps as a virtual Lean tool, AR-assisted metrology and AR-based solutions for in-line quality control. In this SLR, an AR architecture layer framework has been improved to classify articles into different layers which are finally integrated into a systematic design and development methodology for the development of long-term AR-based solutions for the quality sector in the future.

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“…In the study by Smith, Semple, Evans, McRae and Blackwell (2020), although performance when using paper instructions was better than AR for task time, error count, and cognitive effort, users reported finding the AR system easier and more enjoyable to use than its paper counterpart, and this is reflected in the system usability scores. The expert workers involved in the case study of Muñoz, Martí, Mahiques, Gracia, Solanes & Tornero (2020) highlighted the great robustness of the application working in an industrial environment and pointed out that the device and virtual objects did not affect their view, which means an improvement of the worker safety. Moreover, they highlighted the easiness of placing the virtual interface anywhere in the environment and modifying its size, reducing the physical stress of the expert while performing the task, which means an improvement of the worker ergonomics.…”

Section: Rq3: What Are the Impacts Of Ar/vr/mr Technologies On The Wo...mentioning

confidence: 99%

Smart operators: How augmented and virtual technologies are affecting the worker's performance in manufacturing contexts

Pasquale

Simone

Miranda

et al. 2022

JIEM

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Purpose: The correct interaction between the workforce and augmented, virtual, and mixed reality technologies represents a crucial aspect of the success of the smart factory. This interaction is, indeed, affected by the variability of human behavior and its reliability, which can strongly influence the quality, safety, and productivity standards. For this reason, this paper aims to provide a clear and complete analysis of the impacts of these technologies on the performance of operators.Design/methodology/approach: A Systematic Literature Review (SLR) was conducted to identify peer-reviewed papers that focused on the implementation of augmented and virtual technologies in manufacturing systems and their effects on human performance.Findings: In total, 61 papers were selected and thoroughly analyzed. The findings of this study reveal that Augmented, Virtual and Mixed Reality can be applied for several applications in manufacturing systems with different types of devices, that involve various advantages and disadvantages. The worker’s performance that are influencing by the use of these technologies are above all time to complete a task, error rate and mental and physical workload. Originality/value: Over the years Augmented, Virtual and Mixed Reality technologies in manufacturing systems have been investigated by researchers. Several studies mostly focused on technological issues, have been conducted. The role of the operator, whose tasks may be influenced positively or negatively by the use of new devices, has been hardly ever analyzed and a deep analysis of human performance affected by these technologies is missing. This study represents a preliminary analysis to fill this gap. The results obtained from the SLR allowed us to develop a conceptual framework that investigates the current state-of-the-art knowledge about the topic and highlights gaps in the current research.

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Camera 3D positioning mixed reality-based interface to improve worker safety, ergonomics and productivity

Cited by 15 publications

References 24 publications

Accuracy of the New Method of Alignment of Workpiece Using Structural-Light 3D Scanner

Accuracy of the New Method of Alignment of Workpiece Using Structural-Light 3D Scanner

Study of Augmented Reality Based Manufacturing for Further Integration of Quality Control 4.0: A Systematic Literature Review

Smart operators: How augmented and virtual technologies are affecting the worker's performance in manufacturing contexts

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