Page 124 - The Indian Optician Digital Edition May-June 2023

COMPUTER VISION IS USED IN A WIDE VARIETY OF APPLICATIONS
SELF-DRIVING CARS Is used to help self-driving cars navigate the roads and avoid obstacles

MEDICAL IMAGING Is used to analyse medical images, such as X-rays and MRI Scans
SECURITY Is used to monitor security cameras and detect suspicious activity
RETAIL Is used to track inventory and monitor customer behaviour
MANUFACTURING Is used to inspect products for defects

vision systems with large amounts of data.
HUMAN VISION AND COMPUTER
Disadvantages of computer vision VISION ARE TWO VERY DIFFERENT
 Object detection: Computer vision systems WAYS OF SEEING THE WORLD. HUMAN
can sometimes have difficulty detecting VISION IS A COMPLEX PROCESS THAT
objects, especially if they are small, partially INVOLVES THE EYES, BRAIN, AND
obscured, or in a cluttered environment. NERVOUS SYSTEM. COMPUTER VISION,
ON THE OTHER HAND, IS AN ARTIFICIAL
 Object recognition: Computer vision
systems can sometimes have difficulty PROCESS THAT RELIES ON ALGORITHMS
recognising objects, especially if they are AND MATHEMATICAL MODELS
from a different angle or perspective than
they were trained on.
applications of computer vision include:
 Perception of depth: Computer vision  Self-driving cars: Computer vision systems
systems can sometimes have difficulty will be essential for self-driving cars to
perceiving depth, which can make it difficult navigate the roads safely.
for them to judge the distance between
objects.  Virtual reality: Computer vision systems will
be used to create realistic virtual worlds that
 Understanding motion: Computer vision can be experienced by humans.
systems can sometimes have difficulty
understanding motion, which can make it  Augmented reality: Computer vision systems
difficult for them to track moving objects will be used to overlay digital information
and predict their future positions. onto the real world.

 Interpretation of colour: Computer vision  Healthcare: Computer vision systems will be
systems can sometimes have difficulty used to diagnose diseases, perform surgery,
interpreting colour, which can make it and monitor patients.
difficult for them to see the world in a variety
of colours.  Security: Computer vision systems will be
used to monitor public spaces for security
 Adapting to changes in lighting: Computer threats.
vision systems can sometimes have difficulty CONCLUSION
adapting to changes in lighting, such as
moving from a dark room to a bright room. Human vision and computer vision are two
FUTURE OF COMPUTER VISION very different ways of seeing the world. Human
vision is a complex process that is still not fully
Computer vision is a rapidly developing understood, while computer vision is an artificial
field with a bright future. As computer process that is constantly evolving. Despite their
vision systems become more sophisticated, differences, both human vision and computer
they will be able to perform a wider range vision have the potential to revolutionise a wide
of tasks. Some of the potential future range of industries

120 | THE INDIAN OPTICIAN | MAY-JUNE 2023 OPTOMETRY