scispace - formally typeset
Search or ask a question

What are computer vision, thier functional application and thier application fileds within the industrial sector? 


Best insight from top research papers

Computer vision refers to the use of sensing devices, computers, and software to analyze and interpret visual data. It involves applications such as visible light sensing, infrared imaging, satellite imaging, radar imaging, and ultrasonic imaging. Computer vision has various functional applications, including automated inspection, medical diagnosis, military targeting and tracking, weather and crop yield prediction, and industrial inspection. It also plays a growing role in robotics. Within the industrial sector, computer vision is used in applications such as measuring the length of fibers in yarn ("Yarn hairiness analyzer") and determining surface properties of metals in high temperatures ("Thermo-Wet"). These applications utilize image processing and analysis algorithms to achieve accurate results. The quality of image segmentation is crucial in these applications, and a universal image segmentation algorithm can be used effectively.

Answers from top 5 papers

More filters
Papers (5)Insight
The paper discusses computer vision applications in residential, office, and industrial environments. It specifically mentions OCRFORMSv2 for data extraction from structured documents and ITICAB+ for biometric access control based on face recognition. It also mentions an innovative 3D scanning system called I3D for industrial applications.
The paper discusses the development and application of computer vision technology, including its use in computational geometry, computer graphics, image processing, and robotics. However, it does not specifically mention the application of computer vision in the industrial sector.
The paper discusses two practical applications of computer vision systems in the industrial sector: yarn hairiness analyzer and Thermo-Wet for measuring surface properties of metals.
The paper discusses the applications of computer vision in automation and robotics, but it does not specifically mention the functional applications of computer vision or its application fields within the industrial sector.
The paper discusses various applications of computer vision, including automated inspection in industrial settings, but does not specifically mention their functional applications or application fields within the industrial sector.

Related Questions

What are some examples of computer applications in various industries?5 answersComputers have become integral in various industries, offering a wide array of applications. In healthcare, computers are utilized for patient monitoring, clinical decision-making support, and educational programs. Engineering benefits from Computer-Aided Engineering software for design and manufacturing processes, such as Pro? and Aspen for chemical operations and Fluent and CFX for computational fluid dynamics in electrolysis studies. Manufacturing industries have seen advancements in automation and production technology, leading to a shift towards automated work systems and increased efficiency in goods processing. Additionally, computer-assisted systems are employed in industrial settings for health testing and workforce safety documentation, aiding in characterizing different employee populations and assessing occupational health risks.
How visual ai is used in different industries?5 answersVisual AI is extensively applied across various industries for tasks like defect detection, intelligent production, driving assistance, and more. Industries such as automotive, manufacturing, agriculture, and healthcare benefit from visual perception technologies. In industrial settings, visual AI aids in detecting defects on metal surfaces, enhancing performance above prior results. Moreover, industrial Augmented Reality (iAR) leverages visual assets like product models and text to support tasks such as maintenance and assembly. The integration of imaging sensors, computational power, and machine vision technology has enabled the rapid proliferation of visual AI in industries like aluminum, automotive, textiles, and more. Additionally, the development of graphical software allows domain experts from various fields to build AI applications without programming knowledge, further expanding the application of visual AI across industries.
What are the current computer vision applications being utilized in the construction industry for safety purposes?5 answersComputer vision applications in the construction industry for safety purposes include object recognition models for worker presence, fall risk assessment, and safety gear compliance. Additionally, computer vision technologies like Computer Vision (CV), Internet of Things (IoT), and Convolutional Neural Networks (CNN) are employed for safety monitoring, productivity improvement, progress tracking, infrastructure inspection, and robotic applications on construction sites. Novel approaches like Multi-Domain Convolutional Neural Networks (MD-CNN) are developed to track objects accurately in dynamic construction environments, aiding in hazard prevention and worker monitoring. These technologies offer benefits such as real-time data monitoring, accurate prediction, and model development for on-site health and safety analytics, enhancing overall safety management in the construction sector.
How mobile application helps to industrial sectors?5 answersMobile applications play a crucial role in industrial sectors by providing various benefits. They enable seamless connectivity with machines and cloud applications, creating an agile and collaborative environment. These applications can be used for a wide range of purposes such as paperwork elimination, employee tracking, inventory management, work order management, quality control, remote monitoring, workplace safety, and automation of company processes. By leveraging 5G technology, mobile applications can enable the rapid adoption of Industry 4.0 use cases, bringing significant benefits to the manufacturing sector. Additionally, mobile apps installed on smart devices can improve efficiency, reduce costs, and minimize errors in industrial work. However, proper validation experiments and case studies are necessary to ensure the reliability of app usage in industrial settings. Mobile applications also offer sophisticated approaches for problem-solving in industrial systems, utilizing algorithms and data gathering capabilities. Overall, mobile applications enhance productivity, satisfaction, flexibility, and competitive advantages in industrial sectors.
What are robotics within the AI-subfields thier functional application and thier application fileds within the industrial sector?4 answersRobotics is an interdisciplinary research field that combines control theory, mechanical engineering, electronic engineering, and computer science. It aims to design machines capable of perceiving, moving, and interacting with their environment to perform tasks. Artificial Intelligence (AI) is a distinct but overlapping area of computer science that focuses on developing computational models of intelligence and implementing these models in systems. The intersection of Robotics and AI is critical for both fields, as robots implement a "perception-decision-action" loop, with decision making being central for tackling variable environments and tasks. Industrial applications of intelligent robots and autonomous systems in the context of Industry 4.0 have yielded remarkable applications such as self-driving cars, drones, and deep learning methods used in medical diagnosis. Learning algorithms are also being applied in industrial manufacturing to create fully autonomous systems capable of complex tasks without explicit instructions. These applications are aimed at improving efficiency, flexibility, and safety in various domains such as industry, healthcare, and agriculture.
What are automated Robotics thier functional application and thier application fileds within the industrial sector?4 answersAutomated robotics have functional applications in the industrial sector, leading to increased productivity, cost reduction, and improved product quality. These robotic systems are used in various manufacturing companies, including stores and factories, and are crucial for the development of smart factories. They can perform intricate sequences of tasks, such as assembly and sorting, and are equipped with artificial intelligence and machine learning algorithms to react to critical situations. Automated manufacturing processes, enabled by interactions with machine tools, sensors, and control algorithms, optimize process parameters in real-time to achieve optimum performance and product quality. The industrial sector also benefits from automation through the use of joysticks and robotic technology with sensors, which enhance productivity, accuracy, and innovation in industries. Overall, automated robotics have a wide range of applications in the industrial sector, improving efficiency and enabling higher productivity.