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Computer Vision is a superset of image processing. Image processing is a subset of Computer Vision.
It means that Computer Vision encompasses image It means that image processing is one component
processing as one of its components or foundational within the broader domain of Computer Vision.
steps, but extends beyond it to achieve higher-level tasks Image processing provides foundational tools and
like recognition and decision-making. techniques often used in Computer Vision tasks.
It operates at a higher level of abstraction, focusing It operates at a lower level, primarily working with
on deriving meaning from visual inputs and enabling pixel-level data to transform or analyse images
machines to perform tasks like decision-making. without necessarily understanding their content.
Real-world examples Real -world examples
• Self-driving cars recognising road signs and • Enhancing satellite images for better resolution.
pedestrians. • Removing red-eye effects in photos.
• Augmented Reality (AR) and Virtual Reality (VR) • Converting colour images to grayscale.
environments.
• Automated surveillance systems detecting suspicious
activities.
Applications of Computer Vision
Computer Vision is a technology that started in the 1970s. At that time, it was a new and exciting idea, but the
technology wasn’t good enough for everyone to use. People could only dream, how it could change the world.
Now, Computer Vision has improved a lot. With better algorithms and programs, faster computers and more data,
things that seemed impossible in the past are now easy to use every day. It helps machines see and understand
the world, just like humans do.
Recently, the technology has advanced even more and is now centre of innovations. It helps businesses work
faster, do tasks automatically, and create new possibilities. Computer Vision is used in many fields, like healthcare,
shopping and entertainment. It is making the world smarter, safer and more efficient.
Let us learn about some applications of Computer Vision.
Facial Recognition
Facial recognition is a technology that uses Computer Vision to identify and verify
people based on their facial features. It has become an important part of smart cities
and smart homes, making life more convenient, secure, and efficient.
This technology removes the need for keys, cards, or manual attendance checks,
making tasks faster and easier. It can quickly detect and alert you to unfamiliar faces,
ensuring safety at home, school, or other places.
Facial recognition helps make homes safer and smarter in several ways:
• Security: Smart home systems can recognise family members or regular visitors,
allowing them to enter without keys or codes. This ensures that only trusted people can access your home.
• Visitor records: Smart devices can keep track of visitors by recognising their faces and logging the details. This
makes it easy to see who visited and when.
Schools are also using facial recognition for various tasks:
• Attendance: Instead of calling out names or signing in, students’ faces are scanned to mark attendance
automatically. This saves time and reduces mistakes.
• Access control: Facial recognition ensures that only authorised people can enter certain areas, such as labs or
staff rooms, keeping them secure.
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