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SHREE INSTITUTE OF TECHNICAL EDUCATION
DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING
(An ISO 9001:2008 Certified institution)
(Approved by AICTE, Affiliated toJ.N.T.University, Anantapur)
Krishnapuram (M), Tirupati-Srikalahasti Highway Road, Renigunta.
Chittoor (Dist), A.P.
(2016-2020).
p
OBJECT FOLLOWING ROBOT
PRESENTED BY
V.SAIJOSHNA(164A1A0406)
K.LEELAPRASAD(164A1A0402)
K.JIGEESHA(164A1A0409)
Y.MAHESH(174A5A0406)
UNDER THE GUIDANCE OF
Mr. T.PRASAD(HOD DEPARTMENT OF ECE)
Contents
Introduction
Existing systems
Proposed system
Block diagram
Hardware
Software
Applications
Results
Conclusion
Future scope
Introduction
Automation has led to growth
of industries in recent years.
For better performance of
industrial process automated
robots are used.
Image processing has led to
advancements in applications
of robotics and embedded
systems.
Using Computer Vision
techniques, a robotic vehicle
is developed which can
identify and track objects.
It has many applications in the
automation and security.
Existing systems
Passive
Infrared(PIR)
Ultrasonic
Tomographic
motion detector
Color sensor
Proposed system
Continued..
We have built a mobile
robotic system for tracking
and following moving
objects.
home use, health care and
transportation
wide area coverage
Block diagram
HARDWARE
Arduino Uno
HC-05 Bluetooth
module
DC Motors
L293D Motor driver Ultrasonic sensor Android Mobile
SOFTWARE
ARDUINO IDE ANDROID APPLICATION OPENCV INSTALLATION
MANAGER
APPLICATIONS
Visual
surveillance
motion capture
medical
imaging
health care
Home transportation.
RESULTS
FUTURE SCOPE
ROBOT CAN BE
TRAINED TO AVOID
OBSTACLES
MULTIPLE OBJECTS CAN
BE DETECTED IN A
SINGLE FRAME
MULTIPLE COLORS CAN
BE DETECTED
FLEXIBLE MOVEMENT
TO THE ARM
CONCLUSION
This project describes a
wheeled robot built
with an Arduino
microcontroller
controlled by an
Android device for
tracking and following
moving objects.
Android and Arduino
libraries are
implemented to allow
an Android device to
control the robot.
The Android device is
also used to process the
images acquired
through its camera.
The experimental
results of the robot
show robust tracking of
a variety of objects
undergoing significant
appearance changes,
with a low
computational
complexity.
THANKS

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Object tracking robot by saijoshna and team