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TECHNOVATE’19
IBM PROJECT PRESENTATION
PROJECT NAME : SMART-TMU
ABOUT SMART-TMU
WE AIMTO MAKETMU A SMART ANDTECH-
DRIVEN CAMPUS.PARAMETERS ARE :
AUTOMATIC
LIGHT CONTROL
FACEOMETRICS
AUTOMATIC ELECTRICITY REGULATION
ITS IMPLEMENTED BY A SIMPLE MICROCONTROLLER AND IR
SENSORS THAT DETECTS THE PRESENCE OF HUMANS IN
CLASSROOM AND AUTOMATICALLY REGULATES TEMPERATURE
,SWITCH ON AND OFF LIGHTS ,FANS etc.
FOR CORRIDORS AND LTs WIFI BASED TRACKING CAN BE USED
TO DETECT PERSONS COMING IN AND OUT.
BI-DIRECTIONAL VISITOR COUNTER IS THE PRIME ELEMENT
REQUIREMENTS
•SOFTWARE REQUIREMENTS
KeilVision
Code editor
Assembler
C compiler
Burner/Programmer
•HARDWARE
REQUIREMENTS
LM358 2 IR transmitter and receiver
pair
Resistor of the range of kilo ohms
Variable Resistors
LED(Light Emitting Diode)
WORKING DEMONSTRATION
START
PRESENCEOF
INDIVIDUALS
YES NO
IR SENSOR
WILL RESPOND
REGULATES
TEMPERATUREAND
LIGHTNING
ACCORDINGTO
BIDIRECTIONAL
COUNTER
REGULATION
ACCORDINGTO DATA
ANALYSISAND
SURROUNDING
CONDITIONS
USERCAN ALSO
MANIPULATE
ACCORDINGTO
HIS/HER NEEDS
DISPLAYTHE DATA IN
LED FITTED INSIDE
CLASS
AUTOMATICALLY
CLOSESALL
ELECTRICAL DEVICES
DISPLAYS ZERO
COUNT IN LED
DISPLAY
WHY DO WE NEEDTHIS?
REDUCEWASTAGE BY NEARLY
30-35%
REDUCE EXPENDITURE BY
NEARLY 10-15%
PRIME STEPTOWARDS
ENVIRONMENT
CONSERVATION
FACEOMETRICS
Face RecognitionAttendance
based System
Directly UploadTo ERP portal
Discards Pen-Paper attendance and More
Efficient
REQUIREMENTS
• TECHNOLOGIES USED
• Viola Jones Algorithm
• PCA algorithm for Feature selection
• SVM for classification
SYSTEM REQUIREMENTS
Smart surveillance engine
Deep learning engine
Middleware for large scale surveillance
Face images must be in .jpg file and less than 4
mb.
WORKING DEMONSTRATION
START
DATA LOADING
IN DATABASE
CONNECT SOFTWAREWITH
ERP PORTAL
FACE
RECOGNISE
RESOLUTION
AND PIXEL
SETTINGS
FEED DATA
INTOTHE
DATABASE
UPLOADTO ERP
PORTAL
USING DEVICES
FIT INTHE CLASS
WALLS
CONCLUSION
CONCLUSION
SMARTTMU is an initiative to improve the experience for students and
teachers academically and socially, along with mitigating security,
environmental issues, reducing spiralling operation costs and improved
environmental sustainability as well
Key Features are:
• Smart technology-based automation
• Integrated services via dashboards
• Smart distribution systems
• •Foster creativity & innovation via collaboration
THANKYOU
SUBMITTED BY
MANVI CHADDHA
chaddha0108@gmail.com
B.Tech IBM
TCA1857033

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SMART CAMPUS REPORT USING AI AND IoT