Page 122 - The Indian Optician Digital Edition May-June 2023
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Disadvantages of human vision
COMPUTER
VISION
Blind spots: The human eye has blind spots,
which are areas of the field of view that
cannot be seen. This is because the optic
nerve passes through the retina, which is the
part of the eye that senses light.
Motion blur: The human eye can only see a
limited number of frames per second. This
means that objects that are moving quickly
may appear blurry.
Night blindness: Some people have difficulty
seeing in low light. This is due to a condition
called night blindness, which is caused by a
deficiency in the retina.
Colour blindness: Some people have
difficulty seeing certain colours. This is due
to a condition called colour blindness, which
is caused by a deficiency in the cones, which
are the cells in the retina that sense colour.
ADVANTAGES AND DISADVANTAGES OF
HUMAN VISION AND COMPUTER VISION Refractive errors: Some people have
refractive errors, such as nearsightedness or
There are advantages and disadvantages to farsightedness. These errors cause light to
both human vision and computer vision. focus in front of or behind the retina, which
can lead to blurred vision.
Advantages of human vision
Advantages of computer vision
High resolution: The human eye has a high
resolution, which means that it can see small Accuracy: Computer vision systems can
details. This is important for tasks such as be very accurate, often more accurate
reading and recognising faces. than humans. This is because they are not
susceptible to the same biases and errors that
Wide field of view: The human eye has a humans are.
wide field of view, which allows us to see
a large area of the world around us. This is Speed: Computer vision systems can process
important for safety and navigation. images and videos much faster than humans.
This allows them to track objects and events
Colour vision: The human eye can see a in real time, which is essential for applications
wide range of colours. This is important such as self-driving cars.
for tasks such as identifying objects and
understanding the environment. Scalability: Computer vision systems can
be scaled up to handle large amounts of
Depth perception: The human eye has two data. This is important for applications such
eyes, which are located slightly apart from as facial recognition, which need to be able
each other. This allows us to see in three to identify people from a large database of
dimensions, which is important for tasks such images.
as driving and playing sports.
Cost-effectiveness: Computer vision systems
Adaptability: The human eye can adapt to are becoming increasingly cost-effective.
a wide range of lighting conditions. This is This is due to the development of new
important for tasks such as driving at night technologies, such as deep learning, which
and reading in low light. have made it possible to train computer
118 | THE INDIAN OPTICIAN | MAY-JUNE 2023 OPTOMETRY