Machine Vision System for Characterizing Horizontal Wicking and Drying Using an Infrared Camera

Dema, Mesfin; Turner, Chris; Sari‐Sarraf, Hamed; Héquet, Eric

doi:10.1109/tii.2016.2516441

Cited by 21 publications

(8 citation statements)

References 17 publications

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“…e automatic apple sorting and quality inspection system designed by Dema et al integrates image processing and curve-fitting software, which makes the accuracy rate of the sorting process approach 96% [15]. Sun et al put forward a dense segmentation method based on texture and a fruit detection method based on shape to calculate the MV algorithm of mango trees [16].…”

Section: Correlation Researchmentioning

confidence: 99%

Space Modeling Design Art of Suspense Movies Based on Machine Vision

Zuo

2022

Mobile Information Systems

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After suspense movie space has a substantial role, it plays an irreplaceable role in movie narration. Different spatial forms can give us different feelings and different spatial feelings and can cooperate with different stories to create a different atmosphere. In this paper, a new 3D human behavior recognition algorithm in MV (machine vision) perception is proposed. The new algorithm is achieved by collecting the human behavior images and detecting the contour areas of the images. By reducing the projection area of the spatial positioning error area of unknown nodes on the plane, the positioning accuracy of unknown nodes in each axis direction is improved. The necessary brightness correction and color saturation compensation are carried out in color space. The results show that the average recognition rate of human behavior in MV perception is 95%, which can effectively improve the recognition accuracy. The enhanced color image is not only clearer but also more vivid and bright, which achieves the expected purpose.

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Section: Correlation Researchmentioning

confidence: 99%

Space Modeling Design Art of Suspense Movies Based on Machine Vision

Zuo

2022

Mobile Information Systems

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“…In certain stages of the textile manufacturing process, textile quality depends on operator examination, which is tedious. Machine vision can provide imaging-based hardware and software analysis to capture, process, and analyze images; moreover, it has been used for quality control in textile manufacturing processes [42,43]. Machine vision tools that can automatically determine product quality based on the image of the fabric's construction can reduce human error and operating time.…”

Section: Potential Of Machine Visionmentioning

confidence: 99%

Cloud-Based Analytics Module for Predictive Maintenance of the Textile Manufacturing Process

2021

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Industry 4.0 has remarkably transformed many industries. Supervisory control and data acquisition (SCADA) architecture is important to enable an intelligent and connected manufacturing factory. SCADA is extensively used in many Internet of Things (IoT) applications, including data analytics and data visualization. Product quality management is important across most manufacturing industries. In this study, we extensively used SCADA to develop a cloud-based analytics module for production quality predictive maintenance (PdM) in Industry 4.0, thus targeting textile manufacturing processes. The proposed module incorporates a complete knowledge discovery in database process. Machine learning algorithms were employed to analyze preprocessed data and provide predictive suggestions for production quality management. Equipment data were analyzed using the proposed system with an average mean-squared error of ~0.0005. The trained module was implemented as an application programming interface for use in IoT applications and third-party systems. This study provides a basis for improving production quality by predicting optimized equipment settings in manufacturing processes in the textile industry.

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“…Machine vision-Nowadays a machine vision system can track how fashion spread through society facilitating the first hard evidence and can classify fashion trends that happen from one season to the next. Machine vision techniques demonstrate the trends in fashion shows influence street-chic outfits that appear afterward [5]. 5/3nm logic platform technology-Nowadays semiconductor companies start to ramp up 10nm/7nm logic technologies for various fashion design applications.…”

Section: Luminous Fabric For Fashion (Fiber Optics Fabric) -mentioning

confidence: 99%

Fashion Design, Digital Technology, Aesthetics, and Contemporary Society – A Critical Review

Padhi¹

2018

IJRASB

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This comprehensive review is on the dominance of digital technology in fashion design, aesthetics, and profound jounce on the values of individuals in contemporary society. A commensurate understanding of the relationship between digital technology, aesthetics and fashion design is essential to examine the developments, transformation, and socio-cultural surprises in the years to come. Hence, the aim of this research is to bequeath insight and impart new knowledge to the literature encapsulating the following complex interplay between digital technology, fashion design and aesthetics impacting the psychological influences and emotional contagion in the society : (i) introduction of the world of wearables (WOW) that crosses boundaries between many disciplines using wearable operating system (WOS), (ii) describes the indispensable pillars of design imagination that express the product's defining points of importance, (iii) demonstrates digital transformation is a mindset than about technology for the fashion design and development process, (iv) reveals aesthetics as 5C (comfort, communication, care, convenience, and context of usability) experience that actualize user bond and loyalty, (v) justifies fusion of digital technology, aesthetics, and fashion design that offers an array of amazing advantages that creates value for the consumer, (vi) characterizes the power of digital technology on fashion industry creating pervasive phenomenon in the contemporary society, (vii) deliberation and critical rumination on the fashion designer-a bridge between the technology and the consumer that prominence the socio-cultural changes globally, (viii) concludes "less is more" is a key guideline for smart fashion wearable (SFW) design and substantiates that designers will not succeed until it is designed from the fashion perspectivenot as technology that can be worn, but as fashion design that contains technology.

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Machine Vision System for Characterizing Horizontal Wicking and Drying Using an Infrared Camera

Cited by 21 publications

References 17 publications

Space Modeling Design Art of Suspense Movies Based on Machine Vision

Space Modeling Design Art of Suspense Movies Based on Machine Vision

Cloud-Based Analytics Module for Predictive Maintenance of the Textile Manufacturing Process

Fashion Design, Digital Technology, Aesthetics, and Contemporary Society – A Critical Review

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