CBSE Class 10th AI (Artificial Intelleigence) | 19. Applications of Computer Vision by Abraham | Learn Smarter
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19. Applications of Computer Vision

Computer Vision (CV) is a transformative field that allows machines to interpret and act on visual data, heavily influencing daily life through applications like face recognition and autonomous vehicles. Its implementation across various sectors enhances security, efficiency, and accuracy, thereby showcasing the integral role of AI in modern society. Understanding the diverse applications of CV prepares learners to engage with ongoing technological advancements.

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Sections

  • 19

    Applications Of Computer Vision

    Computer Vision is a key technology enabling machines to interpret visual data, with applications ranging from facial recognition to healthcare.

    Learning Practice

  • 19.1

    Face Recognition

    Face recognition is a computer vision technique that identifies individuals by their facial features, widely used in various applications.

    Learning Practice

  • 19.1.1

    What Is It?

    Face recognition is a computer vision technique that identifies or verifies individuals using their facial features.

    Learning Practice

  • 19.1.2

    Where Is It Used?

    Computer Vision (CV) is utilized in various applications ranging from face recognition to autonomous vehicles, enhancing efficiency and boosting security across multiple sectors.

    Learning Practice

  • 19.1.3

    Benefits

    The benefits of computer vision include efficiencies and improvements across various sectors, enabling enhanced safety and personalized experiences.

    Learning Practice

  • 19.2

    Object Detection And Classification

    Object detection and classification involves identifying and categorizing objects within images or videos.

    Learning Practice

  • 19.2.1

    Applications

    This section explores the applications of object detection and classification within computer vision, highlighting its use in various industries.

    Learning Practice

  • 19.2.2

    How It Works?

    This section explains how object detection and classification work in computer vision systems.

    Learning Practice

  • 19.3

    Optical Character Recognition (Ocr)

    Optical Character Recognition (OCR) is a technology that converts different types of documents into editable and searchable text.

    Learning Practice

  • 19.3.1

    What Is It?

    Optical Character Recognition (OCR) technology converts various types of documents into editable and searchable text, playing a critical role in data digitization.

    Learning Practice

  • 19.3.2

    Applications

    This section discusses the various applications of Computer Vision (CV) technology across different industries, highlighting its significance and impact.

    Learning Practice

  • 19.3.3

    Tools Used

    This section provides an overview of the tools utilized in Optical Character Recognition (OCR), focusing on Tesseract OCR and Google Vision API.

    Learning Practice

  • 19.4

    Autonomous Vehicles

    Autonomous vehicles use computer vision to navigate roads, recognize obstacles, and enhance safety.

    Learning Practice

  • 19.4.1

    Functions Powered By Cv

    This section highlights the key functions powered by computer vision in autonomous vehicles and their significance.

    Learning Practice

  • 19.4.2

    Benefits

    Autonomous vehicles leverage computer vision technology, significantly improving road safety and accessibility.

    Learning Practice

  • 19.5

    Medical Imaging And Diagnosis

    This section discusses the application of computer vision in healthcare, particularly in medical imaging and diagnosis.

    Learning Practice

  • 19.5.1

    Use In Healthcare

    CV systems facilitate medical diagnostics by interpreting medical images for disease detection.

    Learning Practice

  • 19.5.2

    Applications

    This section discusses various applications of Computer Vision in real-world scenarios.

    Learning Practice

  • 19.5.3

    Benefits

    This section outlines the significant benefits of using computer vision in the healthcare sector.

    Learning Practice

  • 19.6

    Retail And E-Commerce

    This section discusses the applications of computer vision in retail and e-commerce, emphasizing its impact on personalized shopping experiences and operational efficiency.

    Learning Practice

  • 19.6.1

    Applications

    This section discusses the applications of computer vision in various fields, highlighting its significance in enhancing efficiency and user experience.

    Learning Practice

  • 19.6.2

    Benefits

    The section discusses the benefits of computer vision in retail and e-commerce, highlighting how it enhances customer experiences and operational efficiency.

    Learning Practice

  • 19.7

    Agriculture

    This section discusses the applications of computer vision (CV) in agriculture, focusing on crop monitoring, disease detection, and produce grading.

    Learning Practice

  • 19.7.1

    Cv Applications In Farming

    Computer Vision applications in farming enhance crop monitoring, pest identification, and produce grading, facilitating efficient agricultural practices.

    Learning Practice

  • 19.7.2

    Benefits

    This section discusses the benefits of applying Computer Vision (CV) in agriculture, highlighting its impact on crop monitoring and production efficiency.

    Learning Practice

  • 19.8

    Manufacturing And Quality Control

    Manufacturing and quality control leverage computer vision to enhance efficiency and accuracy in production processes.

    Learning Practice

  • 19.8.1

    Applications

    This section highlights the various real-world applications of Computer Vision across different industries.

    Learning Practice

  • 19.8.2

    Benefits

    This section outlines the significant benefits of implementing Computer Vision in manufacturing and quality control.

    Learning Practice

  • 19.9

    Gaming And Augmented Reality

    This section explores the applications of computer vision in gaming and augmented reality, highlighting technologies like motion capture and face tracking.

    Learning Practice

  • 19.9.1

    Applications

    This section explores various applications ofcomputer vision (CV) in modern technology, showcasing its integration into gaming, augmented reality, and motion capture.

    Learning Practice

  • 19.10

    Disaster Management And Environment Monitoring

    This section discusses the applications of computer vision in disaster management and environmental monitoring.

    Learning Practice

  • 19.10.1

    Applications

    Computer Vision (CV) plays a crucial role in various industries by enabling machines to interpret visual information.

    Learning Practice

  • 19.11

    Summary

    Computer Vision (CV) is enhancing various industries by enabling machines to interpret visual data, making technology more efficient and impactful.

    Learning Practice

  • 19.12

    Key Takeaways

    Computer Vision (CV) is transforming industries by enabling machines to interpret visual data, enhancing efficiency and accuracy in various applications.

    Learning Practice

References

Chapter_19_Appli.pdf

Class Notes

Memorization

What we have learnt

  • CV enables machines to anal...
  • It is widely used in face r...
  • The use of CV enhances spee...

Revision Tests