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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What we have learnt
- CV enables machines to analyze images and videos.
- It is widely used in face recognition, healthcare, retail, manufacturing, and agriculture.
- The use of CV enhances speed, accuracy, and efficiency across sectors.
Key Concepts
- -- Computer Vision
- A field of Artificial Intelligence that enables machines to interpret and make decisions based on visual data, significantly influencing our daily lives.
- -- Face Recognition
- A technique that identifies or verifies a person using their facial features, utilized in security and user authentication.
- -- Object Detection
- The process of identifying and classifying objects within images and videos, essential for applications like surveillance and self-driving cars.
- -- Optical Character Recognition (OCR)
- Technology that converts different document formats into editable text, useful for digitizing and processing information.
- -- Autonomous Vehicles
- Self-driving cars that utilize computer vision to navigate environments and detect obstacles, thereby enhancing safety and mobility.
- -- Medical Imaging
- The use of computer vision in healthcare for diagnosing diseases through medical images, improving accuracy and efficiency in patient care.
- -- Retail Applications
- Utilization of CV in retail for enhancing customer experiences through virtual try-ons and automated checkouts, leading to personalized shopping solutions.
- -- Disaster Management
- Applications of CV in monitoring disasters, providing critical data for rescue and recovery efforts.
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