The document describes a proposed low-cost IoT-based home security system using computer vision. The system would include door lock/unlock, RFID-based indoor access control, outer wall security, a fire alarm system, and power monitoring. A literature review found existing systems to be costly when using components like Raspberry Pi. The proposed framework would use cheaper alternatives like Arduino for an affordable solution. Next steps include integrating modules, implementing facial recognition with masks, and hardware integration in a prototype model.

1. A Low-cost IoT-based Home Security System
using Computer Vision
Group members:
Supervisor:
Department of Electrical & Computer Engineering
COMSATS University Islamabad, Wah Campus
Rana Hussnain Afzal
Muhammad Sarmad
Adnan Khalid
Laiba Tanveer
Dr. Hafiz Muhammad Omer Chughtai,
Department of Electrical and Computer
Engineering

2. COMSATS University Islamabad
Wah Campus
Contents
 Introduction
 Motivation
 Objectives
 Literature Review
 Proposed Framework
 Project Timeline
 Future Plan
 Possible Advancements
 Conclusion – Impact on Society
 Business Plan
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3. COMSATS University Islamabad
Wah Campus
Introduction
A Low Cost IoT-Based Home Security System using Computer Vision 3
 Home Security
 A home security system is a network of devices that all work together to
secure your home.
 IoT
 It describes the network of physical objects – “things”, embedded with
sensors and software for the purpose of exchanging data over the
Internet.
 Computer Vision
 Computer vision is a field of artificial intelligence that trains computers
to interpret and understand the visual world.

4. COMSATS University Islamabad
Wah Campus
Introduction - Motivation
 Pandemic Situation(COVID-19)
 To secure valuables
 IoT-based low cost system
A Low Cost IoT-Based Home Security System using Computer Vision 4

5. COMSATS University Islamabad
Wah Campus
Introduction - Objectives
 The primary objective of the project is to design and develop a Low-Cost IoT-
Based Home Security System using Computer Vision.
 In this regard, the specific project objectives are as follow:
 Door Lock/Unlock
 RFID-based In-door Access Control
 Outerwall Security
 Fire Alarm System
 Power Monitoring
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6. COMSATS University Islamabad
Wah Campus
Literature Review
 The design of smart home using raspberry pi and computer vision technique is proposed
in [1]. However, due to the usage of raspberry pi, its a costly project.
 A three-layer security system with first step as RFID matching, second as password
detection and then a face detection model for recognizing the authorized and
unauthorized person is discussed in [2].
 A controller (MyRIO 1900 Controller) has been programed as per the requirement for
face detection. Personal computer easily used to display the output using LabVIEW. One
of the disadvantages of this technique is that, it is based on MyRIO module, which is very
costly [3].
[1] M. R., R. Y., R. R., and S. A., “Smart home security system using iot, face recognition and raspberry pi,” International
Journal of Computer Applications, vol. 176, no. 13, p. 45–47, 2020
[2] Awinash Kaushal, Akhilesh Gaur and E.Sasikala, “IoT-based home security and automation using random number(password)
generators and face detection.” May 2020.
[3] Dwi Ana Ratna Wati and Dika Abadianto, “Design of face detection and recognition system for smart home security
application,” 2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering
(ICITISEE), 2017.
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7. COMSATS University Islamabad
Wah Campus
Literature Review-Comparison
Modules/Components Features Approx. Cost (Rs.)
Raspberry Pi and Pi Camera
based
Efficient power utilization but
with high processing overhead
19,000 - 24,000
Arduino Mega 2560, GSM,
Camera, RFID tags and Keypad
Sends SMS to the owner,
Gives alarm sound when
unknown is detected. But it
does not send the picture
13,000
MYRIO Module based
The controller already has a
program for the face detection
93,000
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8. COMSATS University Islamabad
Wah Campus
Proposed Framework
A Low Cost IoT-Based Home Security System using Computer Vision
9
Internet
Cloud
Outerwall
Security
LDR (Light
Dependent
Resistor)
Invisible LASER
beam
Sensory
Data
Monitoring
Motion Sensor
Ultrasonic
sensor
Power
Monitoring
Power
Consumption
Switching
power sources
Door Lock/
Unlock
Facial
Detection and
Recognition
RFID-based
Door Access
Fire Alarm
System
Smoke Sensor
Flame Sensor
HOME SECUIRTY
SYSTEM

9. COMSATS University Islamabad
Wah Campus
Project-Timeline
Date Tasks
September 16th, 2020 Literature Review
September 30th, 2020 Comparison and Components Selection
October 22nd, 2020 Flowcharts and Overall Architecture designing
November 13th, 2020 Components Price review and purchasing
November 20th, 2020 Testing Sensors and Modules
December 3rd, 2020 Interfacing IoT App (Blynk) with sensors
December 14th, 2020 Face Detection and Recognition
January 30th, 2021 Face Detection and Recognition with Face mask.
February 20th, 2021 Arduino Code Integration
March 20th, 2021 Hardware Integration
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10. COMSATS University Islamabad
Wah Campus
Future Plan
 In future we shall design a framework to identify and recognize an
individual with a face mask
 Integrating different modules with Arduino
 Finally, the hardware implementation in Model
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11. COMSATS University Islamabad
Wah Campus
Possible Advancements
 In future, we can further reduce the cost of our framework by using
cheaper microcontroller instead of an Arduino
 We can install CCTV camera to capture any intrusion when detected
 Additionally we can extend our model framework as we can likewise
control Water pumps, Irrigation framework for house yards, Swimming
pool water changing framework
A Low Cost IoT-Based Home Security System using Computer Vision
9

12. COMSATS University Islamabad
Wah Campus
Conclusion: Impact on Society
System is developed to integrate different facilities such as Security,
Automation and Power Monitoring using IoT, Arduino and computer vision.
Impact on Society:
 This project helps people to conveniently protect their home, family and
belongings.
 It’ll help reduce crime rate (robbery, burglary etc.).
 We can save money and electricity.
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13. COMSATS University Islamabad
Wah Campus
Business Plans
To promote the finalized prototype, the following strategies can be
adopted
 Marketing Strategy: We may aim to get eyes on it through Social Media by
running paid ads
 Establishing Our Web presence: We may also aim to show our presence on
web
 Target Market: Our Target market will be middle-class and upper-class
families
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14. COMSATS University Islamabad
Wah Campus
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