20. Concepts of Computer Vision
Computer Vision is an exciting and rapidly evolving field of Artificial Intelligence, allowing machines to analyze and interpret visual data akin to human sight. Key techniques such as image classification, object detection, and OCR are central to its function, with applications spanning healthcare, automotive, and security. Despite challenges like lighting and privacy concerns, the future of Computer Vision holds promising innovations.
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What we have learnt
- Computer Vision enables machines to interpret and understand visual information.
- Key stages of Computer Vision include image acquisition, preprocessing, feature extraction, object detection, and interpretation.
- Several industry applications exist, including automotive, healthcare, and security systems.
Key Concepts
- -- Computer Vision
- A field of AI that trains computers to interpret and understand the visual world.
- -- Image Classification
- The process of categorizing an image into a predefined class.
- -- Object Detection
- Identifying and locating multiple objects within an image.
- -- Facial Recognition
- A technology used to identify or verify a person's identity using their facial features.
- -- Optical Character Recognition (OCR)
- The conversion of different types of documents, such as scanned paper documents, PDF files, or images captured by a digital camera into editable and searchable data.
- -- Deep Learning
- A subset of machine learning involving neural networks that learn from vast amounts of data.
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