What Is Computer Vision? || LN-TECHINFO
What Is Computer Vision?
Computer Vision Artificial Intelligence Is A Subset Of Machine Learning. This Is An Area Of Study Where The Focus Is On The Development Of Those Technologies To Enhance The Computer’s Ability To Detect Any Digital Image And To Understand The Hidden Content In It.
In Other Words, Computer Vision Trains A Computer Or Machine To Understand, Recognize, Process, And Finally Output By Viewing Images And Visuals Like A Human Brain, That Is, It Imparts The Intelligence Of The Human Brain To The Computer. Is Like Feeding. In This, The Computer Is Trained In Such A Way That It Can Interpret Or Understand The Visuals In The Same Way That Humans Can Understand.
By Computer Vision, The Computer Can Identify The Object Present In An Image, And According To That Decision Can Be Given And Output. Computer Vision Is Being Used Today In Various Fields Such As Autonomous Vehicles, Facial Recognition And Surveillance. Computer Vision Is Primarily Aimed At Understanding The Content Of Digital Images.
How Computer Vision Works
Computer Vision Is Based On Pattern Recognition Technique, In Which It Is Trained By Understanding The Visual Data Itself. It Requires A Large Amount Of Training Data For Training, Where It Analyzes The Data Several Times Until It Recognizes Certain Types Of Images At The Right Time.
Suppose For Example, If A Computer Has To Teach The Cat To Recognize, Then A Large Amount Of Different Images Of Cats Will Have To Be Fed To The Computer, Where Their Size, Color, Etc. Will Be Different, So That The Computer Will Have Their Can Understand The Difference Between And Finally Identify The Cat Correctly By Color.
This Process Of Identifying Images Correctly Is Made Possible By Two Main Technologies, The First Being Machine Learning Types By Deep Learning And The Second By The Convolutional Neural Network (CNN).
Here The Computer By Machine Learning Algorithm Analyzes The Available Data On Its Own, And Is Automatically Trained Without Any Human Intervention Or Programming.
(CNN) Convolutional Neural Network Analyzes And Classifies Images By Various Layers Within Them. It Breaks The Image Into Pixels, Filters The Image’s Texture, Edges, Depth, Ie Each Angle, And Examines It. It Is A Complex Mathematical Process, Only After Which It Is Able To Identify The Difference Between The Objects Present In The Image And Make A Correct Prediction Of The Image.
The Accuracy Of Prediction Depends Entirely On The Training Data, That Is, If The Quality Of The Training Data Is Good, Then Only A Better Result Will Be Seen.
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