Computer vision is an AI field focused on enabling machines to interpret and understand visual information from the world. It has evolved from early two-dimensional imaging in the 1950s to complex applications like facial recognition, with goals to enhance human advantage through better understanding of real-world contexts. Key applications include object and pattern detection, optical character recognition, surveillance, and robotics.

1. COMPUTER
VISION
MUHAMMAD MOBEEN
MUHAMMAD AWAIS AFZAL
ABDULLAH ZAFAR
MUHAMMAD SHAMAAS
HAMAAD ALI

2. COMPUTER VISION
WHAT IS COMPUTER
VISION?
HOW IT WORKS? WHAT ARE THE
APPLICATIONS?
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3. WHAT IS COMPUTER VISION?
• Computer vision is a field of artificial intelligence that trains
computers to interpret and understand the visual world.
• Using digital images from cameras and videos and deep
learning models, machines can accurately identify and classify
objects — and then react to what they “see.”
• Computers assemble visual images in the same way you might
put together a jigsaw puzzle.
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4. HISTORY OF COMPUTER VISION
1950’s
Two-dimensional imaging
for statistical pattern
recognition developed.
1970’s
First commercial use of
computer vision.
1990’s
Complex tasks like “Facial
Recognition” became
possible with computer
vision.
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5. WHAT IS THE GOAL OF COMPUTER VISION?
 Goal is to enable computers to better understand our “Real World”, so that humanity can use
it for their own advantage.
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6. COMPUTER VISION VS HUMAN VISION
What we see What Computer see
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7. AI MODEL BREAKS THE IMAGE AND LABELS THEM
ACCORDING TO THEIR FEATURES:-
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8. RECOGNITION CUES
Color
Texture
Pattern
Shape
Association
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9. COMPUTER VISION PIPELINE
INPUT DATA PRE-PROCESSING FEATURE
EXTRACTION
MACHINE
LEARNING MODEL
- Images
- Videos
Getting the data
ready
- Standardize
images
- Color
transformation
- Find
distinguishing
information
about image
- Learn from
extracted features
to predict and
classify objects
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10. APPLICATIONS
Image segmentation
Object detection
Facial recognition
Edge detection
Pattern detection
Image classification
Feature matching
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11. OPTICAL CHARACTER
RECOGNITION (OCR)
• Bar Code Readers
• Scans Images for texts
• Image to PDF Converters
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12. FINGER PRINT
RECOGNITION
• Recognizes Patterns in Finger Prints
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13. SURVEILLANCE
• Facial Recognition in Public Places
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14. SPORTS
• Hawk-Eye Technology
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15. TRAFFIC MONITORING
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16. ROBOTICS
• Jet Bot by NVIDIA uses computer vision to navigate and
detect objects
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17. MILITARY APPLICATIONS
• Detection of movements of Invaders
• Target Detection
• IR Missiles
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18. COMPUTER VISION IS ONE OF
THE MOST REMARKABLE
THINGS TO COME OUT OF THE
DEEP LEARNING AND
ARTIFICIAL INTELLIGENCE
WORLD. THE ADVANCEMENTS
THAT DEEP LEARNING HAS
CONTRIBUTED TO THE
COMPUTER VISION FIELD HAVE
REALLY SET THIS FIELD APART.
THE
END
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-Wayne Thompson