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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.
Face Filters
Face filters in Computer Vision are fun and interactive tools that uses algorithm to detect and track facial features,
such as the eyes, nose, mouth, and overall face shape. This process is called facial landmark detection. These filters
then overlay digital effects or objects on a person's face in real time, such as hats, glasses, or funny faces. They are
commonly used in social media apps like Instagram and Snapchat, video conferencing platforms, and Augmented
Reality (AR) applications.
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