Brain detection machine

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Brain detection machine
BRAIN DETCTION MACHINE
--SWAPNIL PATIL-M-TECH (CSE)
1
Swapnil patil
Brain detection machine
Introducton:
Today’s many techniques are available in this world like
lie detection, body problem detection machine etc. but no any
machine are available in this world which detect the human brain
thinking .hence we create some right or wrong thinking about any
person because we are not known his correct thinking .
Definition:
“The brain detection machine is a machine which is use to
understand the thinking of human which presently run on human
mind.”
After analysis we can say the human brain detection
machine development is possible use some concept:
Characteristic of human on different situation:
 They create some different facial expression on different
situation.
 They change the some hand movement in some condition.
 Increases or decreases or decreases the volume on some
condition.
 Increases or decreases the heart beats on some some situation.
We capture this human activity and create some concept which is
useful for the brain detection technique.
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Facial expression
Hand movement
Volume rate changes
Heart beat rate changes
2
Swapnil patil
Brain detection machine
Some physical concept which is helpful to detection of human brain.
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Know human nature
Previous behaviour of person to other in front of you.
Thinking of this person to other
Human character
Human interest
Facial expression
Hand movement
Change volume rate
Change heart beat rate
Human neture
Brain detection
machine
Know
human
present
thinking
Previous behavier
Human character
Human intrest
Fig. brain detection machine
We can capture this all things and apply on artificial neural network.
Then we can say we can develop the brain detection machine.
It may use the unsupervised learning because
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We are not known any targeted value.
No any teacher available there.
We are goes to target step by step.
Changes the thinking according to human behaviour.
3
Swapnil patil
Brain detection machine
Unsupervised learning techniques
X
input
ANN
Y
output
Fig. Unsupervised learning
Advantages:
 Choose the correct person which is capable
 To detect human brain problem
Application of this machine:
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Medicine field.
Politian checks up.
Correct employee’s election.
Check up of stranger person.
4
Swapnil patil
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