SOCIAL DISTANCING PROJECT USING COMPUTER

VISION AND DEEP LEARNING

A Internship report submitted by

ELVINA SHARON (URK20CS1006)

in partial fulfillment for the award of the degree

of
BACHELOR OF TECHNOLOGY
in
COMPUTER SCIENCE AND ENGINEERING
under the supervision of
Mrs. EVANGELIN SONIA M.E, (Ph.D.)
Assistant Professor

DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING

KARUNYA INSTITUTE OF TECHNOLOGY AND SCIENCES

(Declared as Deemed to be University-under Sec-3 of the UGC Act, 1956)
Karunya Nagar, Coimbatore - 641 114. INDIA

October 2023

1|9Page Internship 2022-2023

 DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING

BONAFIDE CERTIFICATE

This is to certify that the report entitled, “Social Distancing Project using Computer Vision

and Deep Learning” is a bonafide record of Internship work done at Intel Inc. during the
academic year 2022-2023 by

ELVINA SHARON J (Reg. No: URK20CS1006)

in partial fulfillment of the requirements for the award of the degree of Bachelor of
Technology in Computer Science and Engineering of Karunya Institute of Technology and
Sciences.

Submitted for the Viva Voce held on _09.10.2023__

Guide Signature

Mrs. Evangelin Sonia M.E, (Ph.D.)

Assistant Professor

2|9Page Internship 2022-2023

3|9Page Internship 2022-2023
 ACKNOWLEDGEMENT

First and foremost, I praise and thank ALMIGTHY GOD whose blessings have

bestowed in me the will power and confidence to carry out my Internship.

I am grateful to our beloved founders Late. Dr. D.G.S. Dhinakaran, C.A.I.I.B, Ph.D

and Dr. Paul Dhinakaran, M.B.A, Ph.D, for their love and always remembering us in their

prayers.

I extend my thanks to our Vice Chancellor Dr. P. Mannar Jawahar, Ph.D and our

Registrar Dr. Elijah Blessing, M.E., Ph.D, for giving me this opportunity to do the internship.

I would like to thank Dr. Prince Arulraj, M.E., Ph.D., Dean, School of Engineering

and Technology for his direction and invaluable support to complete the same.

I would like to place my heart-felt thanks and gratitude to Dr. J. Immanuel John Raja,

M.E., Ph.D., Head of the Department, Computer Science and Engineering for his

encouragement and guidance.

I feel it a pleasure to be indebted to Mrs. Evangelin Sonia M.E, (Ph.D.) for their

invaluable support, advice and encouragement.

I also thank all the staff members of the Department for extending their helping hands

to make this in Internship a successful one.

I would also like to thank all my friends and my parents who have prayed and helped

me during the Internship.

4|9Page Internship 2022-2023

 SYNOPSIS

During May and June 2023, I had the incredible opportunity to embark on an industrial training
internship at Intel, working on a groundbreaking project titled "Social Distancing Project using
Computer Vision and Deep Learning." This experience was nothing short of transformative, as
I delved into the intersection of technology and social responsibility.

Throughout the internship, I collaborated with a diverse and brilliant team of engineers and
researchers. Our mission was clear: to leverage the power of computer vision and deep learning
algorithms to enhance social distancing measures, especially in crowded public spaces. Intel’s
cutting-edge technology served as the canvas upon which our innovative ideas came to life.

My role involved developing and fine-tuning algorithms that could accurately detect and
monitor social distancing compliance in real-time. This intricate process demanded not only
technical expertise but also creative problem-solving skills. I delved deep into the world of
convolutional neural networks and image processing, learning how to extract meaningful
insights from complex visual data.

What made this experience truly exceptional was the supportive and collaborative environment
fostered by Intel. I was encouraged to share my ideas, learn from my peers, and explore
uncharted territories in the realm of artificial intelligence. Intel’s commitment to advancing
technology for the betterment of society resonated deeply with me, and I felt a strong sense of
purpose throughout the project.

By the end of the internship, our team had developed a robust system capable of real-time social
distancing monitoring, offering a potential solution to enhance public safety during these
challenging times. This hands-on experience not only honed my technical skills but also
instilled in me a profound sense of responsibility as a technologist.

My time at Intel was not just a professional milestone; it was a journey of personal and
intellectual growth. I am immensely grateful for the opportunity to contribute to a project with
such significant societal impact, and I am inspired to continue my journey in the world of
technology, armed with newfound knowledge, passion, and a sense of purpose.

5|9Page Internship 2022-2023

 CONTENTS

Acknowledgement i
Synopsis ii
1. Introduction 1
1.1 Company Profile 5
1.2 Objective of the company 7
1.3 Organization Chart 8
1.4 Overview of the Internship 8
1.5 Chapter wise Summary 9
2. Nature of the Internship 10
2.1 Purpose 11
2.2 Technical Exposure Gained 12
2.3 Project Details 13
2.3.1 Objective
2.3.2 Module Details
2.3.3 Design Methodology
2.3.4 Implementation Details
2.3.5 Result Analysis
3. Outcomes of the Internship . 20
3.1 Impacts of Internship 21
3.2 Environment Learning 22
3.3 Analysis on Internship 23
3.4 Merits and Demerits of Internship 25
3.5 Applications of Internship 25
4. Conclusions and Future Directions 26
5. References 27
6. Appendixes 28

6|9Page Internship 2022-2023

 CHAPTER 1
INTRODUCTION

1.1 COMPANY PROFILE

Intel Inc, a global technology leader, stands at the forefront of innovation, driving the
evolution of computing and data processing solutions. Established in 1968 by Robert
Noyce and Gordon Moore, Intel has since become synonymous with cutting-edge
technology, setting industry standards and shaping the future of computing.

Intel's commitment to research and development is unparalleled, leading to breakthroughs

in areas such as artificial intelligence, 5G connectivity, and quantum computing. The
company's renowned "Intel Inside" branding signifies quality, performance, and reliability,
making Intel processors the heart of countless devices worldwide.

In addition to its technological prowess, Intel Inc is dedicated to sustainability and

corporate responsibility. The company actively pursues initiatives to reduce its
environmental footprint, promote diversity and inclusion, and empower communities
through education and technology access.

Intel's collaborative and inclusive work culture fosters a spirit of innovation and creativity
among its employees, creating an environment where ideas flourish and solutions come to
life. As a result, Intel continues to drive the digital transformation of industries, paving the
way for a smarter, interconnected future.

Through its unwavering dedication to excellence, Intel Inc remains a beacon of progress
in the ever-changing landscape of technology, inspiring generations and shaping the digital
world we inhabit today.

1.2 OBJECTIVE OF THE COMPANY

At Intel Inc, our objective is to provide aspiring technologists with an immersive and
enriching internship experience that transcends conventional boundaries. We believe in

7|9Page Internship 2022-2023

 nurturing the next generation of innovators, empowering them to explore, learn, and
contribute meaningfully to the world of technology.

Through our internship program, we aim to bridge the gap between academic knowledge
and practical application. We offer a dynamic platform where interns can dive into real-
world projects, tackling challenges that push the limits of their creativity and technical
acumen. Our goal is to foster an environment where curiosity is celebrated, mistakes are
valued as opportunities to learn, and every contribution, no matter how small, is
recognized.

Interns at Intel Inc are not just spectators; they are integral members of our teams. We
encourage them to ask questions, experiment with new ideas, and collaborate across
disciplines. By engaging in hands-on projects, interns gain a deep understanding of the
intricacies of our industry, from cutting-edge semiconductor technology to advanced
artificial intelligence and beyond.

Furthermore, our objective is to instill a sense of purpose and responsibility in our interns.
We challenge them to think ethically, consider the societal impact of their work, and
innovate with integrity. We believe that fostering this mindset is crucial, as technology
plays an increasingly significant role in shaping the world we live in.

Through our internship program, we aim to inspire and prepare the tech leaders of
tomorrow, equipping them with the skills, knowledge, and passion needed to drive
meaningful change in the world. We are not just shaping interns; we are shaping the future
of technology, one innovative mind at a time.

1.3 ORGANIZATION CHART

Intel Inc, a global technology powerhouse, operates with a highly structured and efficient
organizational framework designed to foster innovation, collaboration, and growth. At the
helm of the company is the Chief Executive Officer (CEO), who provides strategic vision
and direction.

8|9Page Internship 2022-2023

 Directly under the CEO, key leadership positions include the Chief Operating Officer
(COO), responsible for overseeing day-to-day operations and ensuring seamless execution
of business strategies, and the Chief Technology Officer (CTO), leading the company’s
technological advancements and research endeavors.

The organizational structure further branches into crucial divisions:

Technology Development: This division is dedicated to cutting-edge research and

development, focusing on semiconductor innovations, advanced materials, and
manufacturing processes.

Product Development and Architecture: Here, experts in various fields collaborate to

design Intel’s diverse range of products, from processors and memory solutions to IoT
devices, ensuring they meet the highest standards of performance and reliability.

Sales and Marketing: This division is responsible for forging strategic partnerships,
reaching out to clients, and marketing Intel’s products globally, ensuring they meet the
needs of various market segments.

Operations: The Operations division oversees supply chain management, manufacturing

facilities, and logistics, ensuring timely production and delivery of Intel’s products
worldwide.

Corporate Affairs and Sustainability: This department focuses on Intel’s social and
environmental responsibilities, driving initiatives related to corporate citizenship, diversity
and inclusion, and sustainable practices.

Under these major divisions, teams and specialized units collaborate, contributing to
Intel’s position as a leader in the tech industry. This well-defined organizational chart
ensures a seamless flow of communication and resources, enabling Intel to continually
innovate and deliver groundbreaking technologies to the world.

9|9Page Internship 2022-2023

1.4 OVERVIEW OF THE INTERNSHIP

Embarking on an internship journey at Intel Inc is not merely a professional experience;

it’s a transformative odyssey into the heart of innovation. Our internship program is
carefully crafted to be more than just a resume booster; it’s an opportunity to dive deep
into the world of cutting-edge technology and real-world problem-solving.

Under the mentorship of industry experts and thought leaders, interns tackle meaningful
projects spanning diverse areas, from artificial intelligence and computer vision to
semiconductor technology and sustainable computing solutions. This hands-on experience
isn’t just about technical skills; it’s about developing a mindset of innovation,
collaboration, and ethical leadership.

Moreover, the internship isn’t confined to office walls; it’s a gateway to a global network
of professionals, a chance to attend workshops, seminars, and networking events that
broaden your horizons. At Intel, we believe in nurturing talent and empowering interns to
unleash their full potential, ensuring that they leave not just with new skills, but with a
newfound confidence to face the challenges of the tech industry.

Join us in this transformative journey, where your ideas matter, your skills are honed, and
your potential is unleashed. Intel Inc. isn’t just a company; it’s a community of innovators,
and your internship here is more than a stint—it’s a springboard for your future in
technology.

1.5 CHAPTER WISE SUMMARY

Chapter 1 deals with the basics of the company such as the in and out of the company’s
profile in the market and then we’ll be discussing the main objective of the organization
in terms of educating and creating opportunities, along with that we’ll be looking at the
overview of the internship.

10 | 9 P a g e Internship 2022-2023
 Chapter 2 especially includes details regarding nature and scope of the internship. The
main purpose of why the internship matters and intricate information about the project
which was during the course of time will be added points to it.

Chapter 3 states facts the outcomes of the internship, which elaborates on the project’s
scope and merits, and demerits of pursuing the internship. Additionally, we have a section
to talk about the environment provided for pursuing the internship.

Chapter 4 encompasses on the closure and end remarks on the entire internship adding
more information about the future directives or notions that could be inculcated in the
future prospects of the internship.

Chapter 5 adds details on the references research papers used. The research papers of
various authors and including ISBN number. These research papers are referred to and
have been scrutinized for keen addition of information in this report.

11 | 9 P a g e Internship 2022-2023
 CHAPTER 2
NATURE OF THE INTERNSHIP

2.1 PURPOSE

The purpose of my internship at Intel Inc transcended the realms of a conventional work
experience. It was a transformative journey aimed at merging academic knowledge with
practical application. By immersing myself in real-world projects, I aimed to translate
classroom theories into tangible solutions. This internship served as a bridge, connecting my
passion for technology with hands-on expertise, honing my skills in areas like computer vision,
deep learning, and semiconductor technology.

Moreover, the internship was an opportunity to gain a profound understanding of the industry's
demands and challenges. Intel's innovative environment allowed me to witness firsthand the
collaborative efforts required to drive technological advancements. The experience deepened
my technical expertise, enhancing my problem-solving abilities and fostering a sense of
adaptability crucial in the fast-paced tech landscape.

Beyond technical skills, the internship aimed to instill a sense of responsibility. I sought to
understand the ethical implications of technology and contribute to projects, such as the "Social
Distancing Project," that had a positive societal impact. This purpose-driven approach guided
my journey, shaping me into a conscientious technologist prepared to make meaningful
contributions to the tech industry and society at large.

2.2 TECHNICAL EXPOSURE GAINED

My internship at Intel Inc provided unparalleled technical exposure that revolutionized my

understanding of cutting-edge technology. I delved deep into the realm of computer vision,
mastering advanced algorithms for image recognition and processing. Working on the "Social
Distancing Project using Computer Vision and Deep Learning," I honed my skills in deep
learning frameworks like TensorFlow and PyTorch, equipping me with the ability to develop
intricate neural networks.

12 | 9 P a g e Internship 2022-2023
Moreover, I gained hands-on experience in semiconductor technology, understanding the
intricacies of chip design and fabrication processes. Exploring Intel's advanced architectures, I
acquired in-depth knowledge of CPUs, GPUs, and memory systems. Collaborating with
seasoned engineers, I delved into the world of software optimization, learning techniques to
enhance code performance and efficiency.

Additionally, my exposure extended to IoT devices and edge computing, exploring how Intel’s
technologies power the Internet of Things ecosystem. Through workshops and practical
implementations, I gained expertise in IoT protocols, sensor integration, and real-time data
analytics.

This internship provided a transformative technical foundation, enabling me to bridge

theoretical knowledge with real-world applications, setting the stage for a promising career in
the ever-evolving field of technology.

2.3 PROJECT DETAILS

2.3.1 OBJECTIVE

Traditional methods of monitoring social distancing rely heavily on manual intervention and
are prone to human error. By harnessing the power of computer vision and deep learning, this
project seeks to revolutionize the way social distancing is monitored and enforced. It aims to
provide an automated, accurate, and real-time solution that can ensure adherence to social
distancing guidelines in diverse public environments. The project's motivation also lies in the
potential to contribute to public health efforts by providing valuable insights into social
distancing compliance rates and patterns. The data generated through extensive testing in
various public spaces will enable evidence-based decision-making for public health authorities
and policymakers. This information can guide the implementation of targeted interventions,
facilitate resource allocation, and enhance the effectiveness of public health measures in
reducing the transmission of contagious diseases.

13 | 9 P a g e Internship 2022-2023
2.3.2 MODULE DETAILS
Data Collection and Preprocessing:
Objective: Gather real-time video data from various sources, and preprocess frames, and
extract relevant features for analysis.
Techniques Used: Video streaming protocols, frame extraction, noise reduction, and data
augmentation.
Object Detection and Tracking:
Objective: Detect individuals in video frames and track their movements to calculate distances
and identify violations.
Techniques Used: YOLO (You Only Look Once) object detection, multi-object tracking
algorithms, bounding box calculations.
Deep Learning Model Development:
Objective: Design neural networks to analyze spatial relationships, calculate safe distances,
and flag social distancing violations.
Techniques Used: Convolutional Neural Networks (CNNs), recurrent layers for tracking, loss
function optimization.
Real-time Alert System:
Objective: Implement an alert mechanism for immediate notification of social distancing
breaches.
Techniques Used: Event-driven programming, messaging protocols, email/SMS notifications.
Visualization and Reporting:
Objective: Present analyzed data in an understandable format for stakeholders, enabling
actionable insights.
Techniques Used: Data visualization libraries (e.g., Matplotlib, D3.js), interactive dashboards,
report generation.
Integration with Surveillance Systems:
Objective: Integrate the developed modules into existing surveillance systems for seamless
implementation.
Techniques Used: API integration, compatibility testing, system optimization.
Continuous Monitoring and Model Optimization:
Objective: Implement mechanisms for continuous model monitoring, feedback collection, and
iterative improvements.

14 | 9 P a g e Internship 2022-2023
Techniques Used: Performance metrics tracking, user feedback analysis, model retraining
strategies.

By meticulously implementing these modules, the project achieved its goal of creating a robust
social distancing monitoring system. Through the integration of computer vision and deep
learning, the solution ensured adherence to safety protocols, contributing significantly to public
health and safety in crowded environments.

2.3.3 DESIGN METHODOLOGY

Previous studies in the field of social distancing monitoring have employed various detection
methods. Some of these approaches have utilized AI and Deep Learning algorithms, while
others have incorporated IoT motion sensors to detect human presence and activities. These
methods have been implemented on real-time monitoring systems or utilized existing video
and image data for analysis. However, deploying these algorithms on local monitoring systems
has presented several challenges in achieving accurate detection and analysis. To improve the
precision of detection and enhance analysis capabilities, researchers have been exploring the
emergence of more effective algorithms and procedures. Notably, technologies such as
OpenVino and OpenCV, which encompass advanced Computer Vision algorithms, have been
utilized to achieve better analysis results and refine the detection process.
Source Compliers and Libraries:
1. Python 3.10:
While Python itself is a versatile language for various applications, it has gained significant
popularity in the AI and deep learning communities due to its simplicity, extensive libraries,
and vibrant ecosystem.
2. OpenCV:
OpenCV (Open Source Computer Vision) is an open-source library of computer vision and
image processing functions. It provides a wide range of tools and algorithms that enable
evelopers to perform various tasks related to image and video analysis, object detection and
recognition, and more.
3. OpenVino:
OpenVINO (Open Visual Inference and Neural Network Optimization) is an opensource
toolkit developed by Intel. It is designed to optimize and accelerate the deployment of deep

15 | 9 P a g e Internship 2022-2023
learning models across a wide range of Intel hardware platforms, including CPUs, GPUs,
FPGAs, and Neural Compute Stick devices.

2.3.4 IMPLEMENTATION DETAILS

The primary objective of this project is to develop a robust system that leverages the
OpenVINO (Open Visual Inference and Neural Network Optimization) toolkit to perform
social distance inference on video data. The purpose is to create an application capable of
analyzing video footage and accurately detecting violations of social distancing guidelines,
thereby contributing to the mitigation of contagious disease transmission. To achieve this, the
project will utilize the pre-trained deep learning model known as "yolov8" The OpenVINO
toolkit's inference engine will be leveraged to optimize the performance of this model
specifically for social distance estimation. By employing OpenVINO, optimizing the
yolov8model, and integrating it with video-related functionalities, this project aims to provide
an effective solution for monitoring social distancing compliance. The ultimate goal is to enable
real-time analysis of video footage, accurate identification of social distancing violations, and
contribute to the broader efforts of mitigating the spread of contagious diseases.

Algorithm
1. Install necessary libraries in the Python compiler.
2. Perform model pre-processing and store the pre-processed model files in the designated
directory.
3. Provide the path for the XML and BIN files of the pre-processed model.
4. Initialize the IECore (Inference Engine Core) and compile the model core with CPU as the
processor for local system implementation.
5. Define the Euclidean distance function to calculate the distance between people.
6. Set the pixel-to-distance ratio, initializing it to 200 pixels representing 1 meter.
7. Define variables for frame height, width, and the destination path for storing results.
8. Initialize empty lists to store box coordinates, confidences, and class IDs.
9. Calculate the frames per second (FPS) using the appropriate formula and set the threshold
value for detection confidence to 0.5.
10. Implement code to display bounding boxes around each detected person, along with the
detection rate and the number of social distancing violations based on the calculated distance.

16 | 9 P a g e Internship 2022-2023
2.3.5 RESULT ANALYSIS

OpenVINO significantly outperforms OpenCV in terms of accuracy when comparing them

sing similar parameters. The output provided by OpenVINO demonstrates a notably higher
level of accuracy compared to OpenCV. OpenVINO exhibits higher frame rates, resulting in
smoother output compared to OpenCV. Moreover, the inference time and computational
resources required by OpenVINO are considerably lower than those demanded by OpenCV.
The OpenVINO CPU inference engine, with its high optimization methods, competes
impressively with OpenCV GPU, thereby leveling the field between the two frameworks. By
developing a social distance inference system using OpenVINO, this project aims to make a
valuable contribution to public health efforts. The system serves as a tool for monitoring and
enforcing social distancing guidelines across various settings, including public spaces,
workplaces, and events. Upon implementation and execution of the application website,
comprehensive analysis of the results has been conducted, exploring various possibilities and
potential outcomes. The screenshots of them are given below:

17 | 9 P a g e Internship 2022-2023
 CHAPTER 3
OUTCOME OF THE INTERNSHIP

3.1 IMPACTS OF INTERNSHIP

My internship at Intel Inc was transformative, leaving a profound impact on my professional
growth and perspective. Immersed in cutting-edge projects, I honed technical skills in computer
vision, deep learning, and semiconductor technology. Beyond technical expertise, I learned the
essence of collaboration, problem-solving, and ethical innovation.

This experience broadened my understanding of technology's societal impact. Working on the

"Social Distancing Project," I grasped how innovative solutions can address real-world
challenges, enhancing public safety. Moreover, I imbibed Intel’s commitment to sustainability
and responsible tech use, shaping my ethical approach to future endeavors.

Intel's collaborative environment cultivated a mindset of continual learning and adaptability,

vital in the ever-evolving tech landscape. The mentorship received and the global network
accessed were invaluable, enriching my perspective on global tech trends.

Most importantly, this internship instilled confidence, empowering me to pursue ambitious

projects and contribute meaningfully to the tech industry. It was not just a stint; it was a
transformative experience shaping my career trajectory and fostering a lifelong passion for
impactful technology solutions.

3.2 ENVIRONMENT LEARNING

During my internship at Intel Inc, I gained valuable insights into the intersection of technology
and environmental sustainability. Intel’s commitment to eco-friendly practices was evident in
their emphasis on energy-efficient computing solutions and responsible manufacturing
processes. Witnessing the implementation of green initiatives, such as reducing electronic
waste and optimizing energy consumption in data centers, highlighted the company’s
dedication to environmental stewardship.

18 | 9 P a g e Internship 2022-2023
Moreover, I participated in workshops and discussions focused on sustainable tech innovations,
broadening my understanding of eco-conscious product design and development. Engaging
with professionals deeply passionate about creating a greener future inspired me to integrate
environmentally friendly practices into my future tech endeavors. This environmental learning
experience was transformative, shaping my perspective on the role of technology in building a
sustainable world.

3.3 ANALYIS ON INTERNSHIP

My internship at Intel Inc was a transformative experience that exceeded my expectations.

Engaging in real-world projects like the "Social Distancing Project" equipped me with
invaluable technical skills in computer vision and deep learning. The mentorship provided by
industry experts allowed me to grasp complex concepts and refine my problem-solving
abilities.

Intel's collaborative environment fostered innovation, encouraging creative thinking and

teamwork. The exposure to diverse technologies, from semiconductor design to IoT solutions,
broadened my knowledge horizon. Furthermore, the company's emphasis on ethical innovation
and environmental sustainability left a lasting impression, shaping my approach to technology.

This internship not only enhanced my technical proficiency but also instilled confidence,
preparing me for the challenges of the tech industry. The impactful work I contributed to,
coupled with the supportive learning atmosphere, made this internship a pivotal moment in my
professional journey, reaffirming my passion for technology and its potential to drive positive
change.

3.4 MERITS AND DEMERITS OF INTERNSHIP

Merits:
The internship at Intel Inc offered hands-on experience, enhancing technical skills and
fostering innovation. Mentorship from experts provided valuable insights, and the exposure
to diverse projects broadened my knowledge base. The emphasis on ethical tech and
sustainability initiatives was inspiring, aligning with my values.

19 | 9 P a g e Internship 2022-2023
Demerits:
The internship, while enriching, posed challenges in balancing project demands. Limited
time sometimes hindered in-depth exploration of certain topics. Additionally, the fast-
paced environment required quick adaptation, which could be overwhelming. However,
these challenges were valuable learning experiences, contributing to my overall growth.

3.5 APPLICATIONS OF INTERNSHIP

The skills and knowledge acquired during my internship at Intel Inc have profoundly impacted
my career trajectory. Applying the expertise gained in computer vision and deep learning, I've
contributed to innovative projects in my academic pursuits and beyond. The exposure to
semiconductor technology inspired my involvement in hardware-focused research, aligning my
interests with cutting-edge advancements.

Moreover, the ethical tech principles instilled at Intel have guided my approach to software
development, ensuring responsible and inclusive solutions. The experience of collaborating
with diverse teams honed my communication skills, enabling me to work seamlessly in
interdisciplinary projects. The internship's emphasis on sustainability influenced my advocacy
for eco-conscious tech solutions, emphasizing ethical innovation in my professional endeavors.
Overall, the application of my internship experience has empowered me to make meaningful
contributions to the tech industry while upholding ethical and innovative standards.

20 | 9 P a g e Internship 2022-2023
 CHAPTER 4
CONCLUSION

In conclusion, the Social Distancing Project using Computer Vision and Deep Learning has
successfully developed a system that leverages the power of OpenVINO to perform social
distance inference on video data. By optimizing a pre-trained deep learning model and
integrating it with video processing functionalities, the project has achieved accurate and real-
time detection of social distancing violations.

Comparative analysis with OpenCV has demonstrated the superior performance of OpenVINO
in terms of accuracy, frame rates, inference time, and computational efficiency. OpenVINO's
CPU inference engine, coupled with its high optimization methods, has proven to be a
remarkable alternative to OpenCV's GPU implementation.

Furthermore, the project's utilization of computer vision and deep learning techniques
showcases their potential to address real-world challenges. By combining these cutting-edge
technologies, the project has paved the way for future advancements in social distancing
monitoring and related applications.

In summary, the use of OpenVINO, alongside optimized deep learning models, has
demonstrated exceptional accuracy, efficiency, and applicability in monitoring and enforcing
social distancing guidelines. This project holds tremendous potential in supporting public
health initiatives and safeguarding communities during contagious disease outbreaks.

21 | 9 P a g e Internship 2022-2023
 CHAPTER 5
REFERENCES

5.1 REFERENCES

[1] Aurelien Geron, “Hands-On Machine Learning with Scikit-Learn, Keras, and
TensorFlow”, ISBN-13: 978-1492032649.
[2] Andriy Burkov, “The Hundred-Page Machine Learning Book”, ISBN-13: 978-
1999579500.
[3] Christopher M. Bishop, “Pattern Recognition and Machine Learning”, ISBN-13: 978-
0387310732
[4] Andrew Ng, “Machine Learning Yearning”, ISBN-13: 978-1797552112.

[5] Richard S. Sutton and Andrew G. Barto, “Reinforcement Learning: An Introduction”,

ISBN-13: 978-0262193986.

22 | 9 P a g e Internship 2022-2023
 CHAPTER 6
APPENDIXES

SOURCE CODE:

Github Link: https://github.com/elvinasharon/Social-Distancing-using-computer-vision-and-

deep-learning.git

Model Link: https://github.com/elvinasharon/Social-Distancing-using-computer-vision-and-

deep-learning/blob/main/yolov8n.onnx

Video Link: https://youtu.be/ZxIXXDFqQ00

Reference Links:

 https://github.com/openvinotoolkit/open_model_zoo

 https://docs.openvino.ai/2021.4/workbench_docs_Workbench_DG_Tutorial_Imp

 https://docs.openvino.ai/2022.3/openvino_docs_MO_DG_prepare_model_convert_m

odel_tf_specific_Convert_YOLO_From_Tensorflow.html

23 | 9 P a g e Internship 2022-2023