REVIEW ARTICLE SYNOPSIS REPORT

1. Faculty of Electronics Engineering (ECE),UNSIET, VBSPU
PROJECT ROGRESS REVISED REPORT- I
PROJECTTITLE: Color Detection & Segmentation based Invisible Cloak
AREAOF WORK:Digital Image Processing
TYPE OF MODEL:Software [Python 3.11 (64bit)]
❖ MODULES USED IN PYTHON: Open CV, NumPy, PIL, Socket, Tkinter
PROJECTAIM & OBJECTIVES:
AIM: This project aims to creates a magical experience by using an Image Processing
technique called Color Detection & Segmentation resulting in false sense of Invisibility in the
frame.
PROJECT OBJECTIVES: The main objective of the invisibility cloak project is to develop
a cloak or material that can render objects invisible to the human eye.
Objective#1: Initializing, Capturing & storing the background frame through a digital camera.
Objective#2: Detect the cloth using Color Detection by choosing appropriate HSV color space.
Objective#3: Segment out the colored cloth by generating a mask.
Objective#4: Applying Mask on frame & Combine mask frames together.
PROPOSED DESIGN METHODOLOGY: Overall, the Proposed Design
methodology involves capturing images, processing them using Image Processing operations
and testing the Invisibility Cloak in real-time using digital web camera. Proposed Design is
depicted in the Fig.1.
PROGRESS IN WORK: During this course of time Objective#1, Objective# 2 and
Objective#3 are completed & Objective#4 is under progress as detailed below,

2. Faculty of Electronics Engineering (ECE),UNSIET, VBSPU
a) We need to capture the background image of the scene without the object you want to hide.
This can be done using a camera or by selecting an image of the background.
b) Using OpenCV, generate a mask that will separate the object from the background. This
can be done by applying image thresholding, (segmentation) that will allow you to isolate
the object.
c) Once we have generated a mask, you can apply image processing techniques to the object
such as morphological transformations. This will make the object appear invisible.
d) Once the processing is complete, test the invisibility cloak in real-time. This can be done
using a webcam.
e) Redefine the Design:Make any necessary modifications to the design to improve its
overall performance, such as implementing on GUI for smooth interface.
PROPOSED DESIGN EVALUATION METRICS
we can utilize several evaluation metrics to
measure the quality of our color detection and
segmentation techniques. We will evaluate
Accuracy & Precision for our proposed model.
Accuracy is a widely used evaluation metric,
especially in classification tasks, to assess the
overall performance of a model or system. To
measure accuracy, you compare the number of
correct predictions made by your system to the
total number of predictions made. Here's the
formula for calculating accuracy:
Accuracy = (Number of Correct Predictions) /
(Total Number of Predictions)
Precision measures the proportion of correctly
detected colors among all detected colors,
indicating how precise our system is in identifying
the person and background colors. Calculate the
true positives (TP), which are the colors correctly
detected as belonging to the person's clothing &
calculate the false positives (FP), which are the
colors incorrectly detected as belonging to the
person's clothing.
Precision = TP / (TP + FP)
Segment out the defined
colored part bygenerating
mask & applying it on frame
Capture & Storebackground
frame using Image Acquisition
by Store a single frame before
startingthe infinite loop.
Generatethe finaloutput to
create a magical effect by
combining frames together, &
remove the unnecessarynoise
from masks.
Detect the definedcolor using
color detection & segmentation
algorithm
Using HSV Model

3. Faculty of Electronics Engineering (ECE),UNSIET, VBSPU
COMPARATIVE ANALYSIS
FUNCTIONALITYOF THE SYSTEM
Correct Predictions Total Processed Frame Accuracy Precision
85 100 0.85 0.83
98 100 0.98 0.96
89 100 0.89 0.86
93 100 0.93 0.91
81 100 0.81 0.82
93 100 0.93 0.92
Choose Webcam:
Stream Web Cam:
If you want to connect with System Webcam (Inbuilt or Connected Directly To
System)
0 for your inbuilt webcam in system and goes like 1,2,3.... according to webcam
connected.
1 for webcam connected externally to your system.
To connect to CCTV, Android Camera or to any other camera having IP Address
IP Address: IP Address of Your Camera (Example: 192.168.43.1)
Port: Port of Connection (Example: 1111)
Refresh: To Refresh the page to show valid options (always refresh when you change the
source)
Connect: To Connect to Camera
Change
Background:
Show
Background:
To Change The background (This Background is used to create the invisibility)
To Show Current using Background
Calibrate To Set HSV Values
(Keep in Mind: The White Part In calibrating window will become invisible)
Start Magic: To Start the Magic (That Make You Invisible)
Stop Magic: To Stop Magic
Disconnect
Exit:
To Disconnect from current Source
To Exit the Program

4. Faculty of Electronics Engineering (ECE),UNSIET, VBSPU
EVALUATION REMARKS BYPROJECTCOORDINATOR(S):
PROJECTREPORTED:
NAME & SIGNATURE OF TEAM MEMBERS:
Aviral Chaurasia (195209)
Ayush Singh (195206)
Prashant Rai(195231)
(APPROVED/NOT-APPROVED)
______________________________
NAME & SIGNATURE OF PROJECT SUPERVISOR (With Date)
Mr. PC Yadav
(Assistant Professor)
Department of Electronics Engineering, UNSIET, VBSPU.
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