A novel approach to using artificial intelligence in coordinate metrology including nano scale

Wieczorowski, Michał; Kucharski, D.; Śniatała, Pawel; Pawlus, Paweł; Królczyk, Grzegorz M.; Gapiński, Bartosz

doi:10.1016/j.measurement.2023.113051

Cited by 15 publications

(5 citation statements)

References 50 publications

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“…Technology has greatly influenced human history [1][2][3][4]. Deep learning and machine learning have recently emerged as transformative fields, significantly advancing our comprehension of computer capabilities [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Object Detection for Safety Attire Using YOLO (You Only Look Once)

Afifuddin Arif Shihabuddin Arip,

Norazlianie Sazali,

Kumaran Kadirgama

et al. 2024

ARAM

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Personal protective equipment (PPE) usage is mandated for all employees to prevent workplace accidents and foster a safe and healthy work environment. Using YOLOv8 machine learning and Google Colab's web-based development environment, this research aims to create an immediate detection system for PPE violations in the workplace. By keeping track of PPE compliance, the system is intended to increase workplace safety and prevent accidents. The dataset is collected through a mixture of real-life image gathering and internet datasets. Various images are collected that aim to train the model to detect objects from afar, close, and individually. The research methodology includes a review of the literature, the gathering, pre-processing, and training of models. According to the use of safety helmets, safety shoes, and gloves, there are three different classes of detection based on the bounding box. The system successfully detected the classes with an overall score above 0.8. The safety helmet achieved 0.969, the safety gloves achieved 0.857, followed by the safety vest with 0.887. The findings from this study indicate that the developed system can effectively improve occupational safety and health management. However, there is a detection error factor caused by the lighting and colors. Future research can focus on integrating the system with other work safety systems to provide a comprehensive solution for accident prevention.

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Section: Introductionmentioning

confidence: 99%

Object Detection for Safety Attire Using YOLO (You Only Look Once)

Afifuddin Arif Shihabuddin Arip,

Norazlianie Sazali,

Kumaran Kadirgama

et al. 2024

ARAM

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“…Rooted in its application to cryptocurrencies like Bitcoin, blockchain's capabilities extend far beyond digital currencies (Tredinnick, 2019). It presents a novel approach to data management and verification that can revolutionize traditional processes (Wieczorowski et al, 2023). This article delves into the utilization of blockchain technology and its profound implications for enhancing supply chain efficiency, optimizing export performance, and ultimately influencing the financial health of Small and Mediumsized Enterprises (SMEs).…”

Section: Introductionmentioning

confidence: 99%

Utilizing blockchain technology in enhancing supply chain efficiency and export performance, and its implications on the financial performance of SMEs

Purwaningsih,

Muslikh,

Suhaeri

et al. 2024

10.5267/j.uscm

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This study examines the intricate relationships among Blockchain Technology utilization, Supply Chain Efficiency, Export Performance, and the Financial Performance of Small and Medium-sized Enterprises (SMEs). The research aims to elucidate the impact of technology adoption on various operational and financial aspects within the SME context. Employing a quantitative research design, data was collected from a diverse sample of SMEs across industries. The relationships were analyzed using statistical techniques, and the hypotheses were tested to uncover the implications of Blockchain Technology integration on SMEs' performance dimensions. The findings reveal that the adoption of Blockchain Technology significantly enhances Supply Chain Efficiency, underscoring its potential for optimizing operational workflows. However, the direct impact of technology on SME Financial Performance is not established, suggesting the importance of a holistic approach to financial growth. Moreover, the positive association between Blockchain Technology and Export Performance highlights the pivotal role of technology in fostering international trade success. Theoretical implications underscore the intricate interplay between technology adoption, operational efficiencies, and financial outcomes in SMEs. Managerially, the study advocates for SMEs to strategically integrate technology within their supply chain management practices to achieve enhanced efficiency and market competitiveness. Limitations include the potential for contextual variations and measurement biases. Future research can delve deeper into the moderating factors that influence the relationship between technology and financial performance in SMEs. The novelty of this study lies in its comprehensive examination of the interrelationships between these factors within the SME context.

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“…Geometrical tolerances given according to any tolerancing system are part of Product Manufacturing Information and imply the verification of geometrical characteristics. The possibility of applying Artificial Intelligence (AI) in the metrology of geometrical quantities with the usage of coordinate measurement technology is discussed in [14]. It is underlined in [14] that AI will be able to assist a metrologist.…”

Section: Introductionmentioning

confidence: 99%

“…The possibility of applying Artificial Intelligence (AI) in the metrology of geometrical quantities with the usage of coordinate measurement technology is discussed in [14]. It is underlined in [14] that AI will be able to assist a metrologist. However, effective application of AI requires that a designer has selected and consequently applied a particular tolerancing system, and therefore, the differences between the ISO GPS system standards and ASME Y14.5 standards shall be investigated and uncovered.…”

Section: Introductionmentioning

confidence: 99%

ISO GPS and ASME GDT standards – differences and similarities in definitions of measurands

Humienny,

Zdrojewski

2023

Metrology and Measurement Systems

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Geometrical tolerances as tricky measurands are indicated. Crucial differences between the ISO and ASME geometrical tolerancing standards are discussed. It is demonstrated that, in many cases, both systems have different default rules. Moreover, for some identical graphical indications, interpretations are different. On the other hand, the standards contain similar arrangements in many cases. It is underlined that nowadays, due to the progressing globalisation, it is necessary to know these standards, bearing in mind that suppliers or customers specify requirements according to provisions from particular standards implemented in their companies. The above justifies the need for research exploring differences and similarities in both systems of standards. It is shown that the ISO GPS system standards, due to default independency principle, prefer to set production as cheaply as possible, while ASME, due to default provisions ( e.g. Rule #1, simultaneous requirement) puts stress on controlling product geometry more strictly, which is sometimes unnecessary.

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A novel approach to using artificial intelligence in coordinate metrology including nano scale

Cited by 15 publications

References 50 publications

Object Detection for Safety Attire Using YOLO (You Only Look Once)

Object Detection for Safety Attire Using YOLO (You Only Look Once)

Utilizing blockchain technology in enhancing supply chain efficiency and export performance, and its implications on the financial performance of SMEs

ISO GPS and ASME GDT standards – differences and similarities in definitions of measurands

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