Role Of Computer Vision Research Articles

Role of computer vision in smart cities: applications and research challenges

Role of computer vision in smart cities: applications and research challenges

CLensRimVision: A Novel Computer Vision Algorithm for Detecting Rim Defects in Contact Lenses

Automated optical inspection (AOI) plays a pivotal role in the quality control of contact lenses, safeguarding the safety and integrity of lenses intended for both medical and cosmetic applications. As the role of computer vision in defect detection expands, our study probes its effectiveness relative to traditional methods, particularly concerning subtle and irregular defects on the lens rim. In this research study, we propose a novel algorithm designed for the precise and automated detection of rim defects in contact lenses called “CLensRimVision”. This algorithm integrates a series of procedures, including image preprocessing, circle detection for identifying lens rims, polar coordinate transformation, setting defect criteria and their subsequent detection, and, finally, visualization. The method based on these criteria can be adapted either to thickness-based or area-based approaches, suiting various characteristics of the contact lens. This approach achieves an exemplary performance with a 0.937 AP score. Our results offer a richer understanding of defect detection strategies, guiding manufacturers and researchers towards optimal techniques for ensuring quality in the contact lens domain.

WITHDRAWN: Special issue on role of computer vision in smart cities

This Editorial has been withdrawn as it has been accidentally submitted twice. The Publisher apologizes for any inconvenience this may cause. The full Elsevier Policy on Article Withdrawal can be found at https://www.elsevier.com/about/our-business/policies/article-withdrawal .

The future of General Movement Assessment: The role of computer vision and machine learning – A scoping review

BackgroundThe clinical and scientific value of Prechtl general movement assessment (GMA) has been increasingly recognised, which has extended beyond the detection of cerebral palsy throughout the years. With advancing computer science, a surging interest in developing automated GMA emerges. AimsIn this scoping review, we focused on video-based approaches, since it remains authentic to the non-intrusive principle of the classic GMA. Specifically, we aimed to provide an overview of recent video-based approaches targeting GMs; identify their techniques for movement detection and classification; examine if the technological solutions conform to the fundamental concepts of GMA; and discuss the challenges of developing automated GMA. Methods and proceduresWe performed a systematic search for computer vision-based studies on GMs. Outcomes and resultsWe identified 40 peer-reviewed articles, most (n = 30) were published between 2017 and 2020. A wide variety of sensing, tracking, detection, and classification tools for computer vision-based GMA were found. Only a small portion of these studies applied deep learning approaches. A comprehensive comparison between data acquisition and sensing setups across the reviewed studies, highlighting limitations and advantages of each modality in performing automated GMA is provided. Conclusions and implicationsA “method-of-choice” for automated GMA does not exist. Besides creating large datasets, understanding the fundamental concepts and prerequisites of GMA is necessary for developing automated solutions. Future research shall look beyond the narrow field of detecting cerebral palsy and open up to the full potential of applying GMA to enable an even broader application.

The role of computer vision in the development of knowledge-based systems for teaching and learning of English language education

The role of computer vision in the development of knowledge-based systems for teaching and learning of English language education

Role of Computer Vision in Automatic Inspection Systems

Computer vision is the process of acquisition, processing and analysis of real world scenes in order to take different decisions based on applications. Computer vision systems are electronic replacement of human visual ability. Applications of computer vision systems are wide. This paper reviews the progress of computer vision in various fields of automatic inspection systems. Since conventional defect detection systems are prone to many disadvantages, computer vision with its efficiency and cost effectiveness is emerging as the latest revolution of technology. At the end of this paper, some advantages and disadvantages of computer vision and a suitable area and method for further research are also discussed.

Computer vision of mobility: towards a space-use analysis method

This study examines the role of computer vision to collect space-use data, with the goal of building a computational tool that supports space-use analysis better than those in current use. In the past, research on space use was predicated on selective samples and labour-intense fieldwork, mainly through direct observations that were often inaccurate through necessity. Computer vision technology allows space use to be monitored, represented, and quantified in ways not considered before, minimising errors and bias that can affect reliability and validity. The careful use of the technological potential of computer vision opens up new ways of identifying phenomena, becoming aware of systematic patterns and regularities and inquiring further into the degree of congruence between the physical organisation of layouts and patterns of space use.

The role of computer vision in prosthetic vision

The cost of vision loss worldwide has been estimated at nearly $3 trillion (http://www.amdalliance.org/cost-of-blindness.html). Non-preventable diseases cause a significant proportion of blindness in developed nations and will become more prevalent as people live longer. Prosthetic vision technologies including retinal implants will play an important therapeutic role. Retinal implants convert an input image stream to visual percepts via stimulation of the retina. This paper highlights some barriers to restoring functional human vision for current generation visual prosthetic devices that computer vision can help overcome. Such computer vision is interactive, aiming to restore function including visuo-motor tasks and recognition.

Human Motor Behavior

Human Motor Behavior