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Language Translator: Google Translate uses Natural Language EXAMPLES OF COMPUTER VISION
Processing (NLP) and sequence-to-sequence modelling to translate Here are some examples of computer vision:
text accurately between languages. Previously, it relied on Statistical Face recognition: Computer vision is used in security systems to
Machine Translation (SMT), which was less accurate and based on recognise faces and allow access to certain places or devices, such
patterns in large translated texts.
as unlocking smartphones or granting entry to buildings.

Grammar Checkers: Grammar and spell checkers are essential
tools for professional writing. They correct mistakes, suggest Image search: Computer vision is used in search engines like Google
synonyms and improve readability using Natural Language Images, allowing users to search for images based on their content. The

Processing (NLP). These tools are widely used in offices, schools and system analyses visual features like colour, shape and texture to find
content creation. similar pictures, making image search more intuitive.

Medical imaging: Computer vision helps doctors analyse X-rays, CT
scans and MRIs to detect medical conditions like tumours, fractures
Email Management: Emails are a key communication method. or abnormalities, making diagnostics faster and more accurate.
Email services use Natural Language Processing (NLP) and text
classification to automatically sort messages into categories like
primary, social and promotions, helping manage unwanted emails. Autonomous vehicles: Self-driving cars rely on computer vision to
understand their surroundings. This includes detecting objects like traffic
lights, pedestrians, other vehicles and road conditions, allowing the car
to navigate safely without human intervention.

COMPUTER VISION Optical Character Recognition (OCR): OCR uses computer vision to
extract text from scanned documents, images or even handwritten OCR
Computer Vision is a field of AI that enables machines to see and understand images, objects and notes, enabling users to edit or search the text digitally. This technology
actions, similar to human vision. Using cameras, sensors and smart programs, it turns images into is used in applications like Google Docs and Adobe Acrobat.
data for machines to process, making machines smarter by giving them sight. This technology is
constantly evolving, enhancing the capabilities of machines in various industries. 21 st #Initiative
INTERDISCIPLINARY LEARNING Century #Critical Thinking
Skills
Human Vision
Surf the Internet and research how computer vision is applied in agriculture to monitor crops and
predict harvest times. Explain how this technology helps farmers
Dog social studies
improve crop yields and manage their fields more efficiently.

Input Eye Brain Output

RAPID RECALL Tick ( ) if you know this.
Computer Vision
1. NLP helps bridge the gap between human communication and computer
understanding.
Dog
2. Computer vision enables machines to understand images, objects and actions,
mimicking human vision.
Input Sensing device Interpreting device Output

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Domains of AI