Page 74 - B.E CSE Curriculum and Syllabus R2017 - REC
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Department of CSE, REC
taken up in this project Object Tracker and Follower Robot. In essence this project clubs in image processing
and driving a robot autonomously with what visuals have been caught as has been in the case of Machine
Vision projects. This project will be using a Raspberry Pi processor board for computational purpose and
driving of the robot. The camera attached to the system captures the images of the front of the robot where it
is attached. By monitoring a stream of incoming images the robot is able to autonomously decide to proceed
in which direction it should go. The incoming visuals are processed using image processing techniques. By
the use of image processing the coordinates of the target is recognized by the robot following which it follows
a path to get to the target. In this project we have demonstrated this ability of the robot by using a yellow
colored Smiley face ball. Whenever a ball is placed in front of the robot it recognizes the ball shape and color
and estimates by this about what direction is it from its current location and also an approximated distance
from the ball. With these calculations it proceeds towards the ball and stops at a location near the ball. This
project demonstrates the capability of robots having target tracking capabilities autonomously with the help of
image processing and robot driving by the results of image processing. The robot can follow the object even
when the object is moving at a speed which can be tracked. In this way with the help of advanced technology
the Object tracker and follower robot can achieve object tracking autonomously.
23. IOT Color Based Product Sorting Machine Project
Color Based Object Sorting has a wide usage in fruit sorting as well as candy sorting industries. This system
puts forward a mechanism to detect color and sort items through image processing. Once identified a
mechanism is used to sort the candies into particular bins baskets. We here demonstrate this mechanism using
a camera with electronic circuitry along with sorting mechanism using 3 bins. The system uses raspberry pi
connected to a controller circuit to achieve this task. The controller circuit consists of a camera attached to it
that detects color of a small object in front of it. A motor is used to feed an object to the camera chamber. As
soon is the color is detected a signal is sent to the sorter mechanism which uses a motor to position the sorting
tube towards respective section. A feeder is then used to push the object towards the tubs so that it gets sorted
and next object is pulled in by the feeder. The action details are sent to the IOT server using IoTgecko
platform to keep track of the number of objects sorted in each section. Thus we achieve a completely
automated IOT based sorting system.
24. 3D Holographic Display System with Gesture Controller
Hologram makers, render 3D projections whether it’s inside a glass tube or suspended in thin air. 3D multi-
dimensional images enable users to interact with content in a totally unique way from a 360-degree seeing
point. The way to the operation of holographic projectors is the 3D image. A holographic projector utilizes
part illuminations reflected together from multiple viewing angles of the subject in a combined form to
reproduce a picture of the subject in a 3D state. Our system produces holographic projections created through
anticipated picture by refraction through the interference design, losing barely any light, and working with
substantially more productivity. Our system uses a raspberry pi controller based system to achieve such
holographic projections. We then use a display to provide part live videos to the projector setup in order to get
the desired 3d hologram. Our frame is constructed to project image in 3d state using a clear pyramid frame in
an accurately designed 3d reflective state. Now we use a gesture sensing board for raspberry pi to detect the
gestures by user and then use it to forward or rewind to previous projections without even touching the panel.
Thus we successfully an efficiently designed 3D holographic display system with gesture interface controller.
25. IoT Smart Mirror with News & Temperature
Smart mirrors are the mirrors of the future. A part of the connected world where we would be able to see
news, temperature, weather and more just while looking and grooming in front of mirrors. Our proposed
system allows to build such mirrors that allow for mirrors to receive news online and display it on the mirror
screen along with other details including current temperature of the room for a futuristic and modern lifestyle.
Our system uses a raspberry pi based processor board along with display and IOT based circuitry and
temperature sensor interfaced together. We use a precisely modelled panel to construct the outer frame. Then
we use specialized glass with a back frame to encase the system. The frame cavity is now fitted with precisely
positioned mounts for the display housing to be fitted in the mirror. This is necessary to achieve the desired
effect. Now we use raspberry pi to connect with internet using IOT circuit through the use of a Wi-Fi module.
This allows us to receive data through the IOT platform. We use IoTGecko in order to connect our system to
Curriculum and Syllabus | B.E. Computer Science and Engineering | R2017 Page 74

