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TITLE PAGE
BY
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--/H2013/01430
DEPARTMENT OF ----
SCHOOL OF ---
INSTITUTE OF ---
APPROVAL PAGE
This is to certify that the research work, "design and construction of a face recognition automatic door opener using camera module" by ---, Reg. No. --/H2007/01430 submitted in partial fulfillment of the requirement award of a Higher National Diploma on --- has been approved.
By
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Supervisor Head of Department.
Signature………………. Signature……………….
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External Invigilator
DEDICATION
This project is dedicated to Almighty God for his protection, kindness, strength over my life throughout the period and also to my --- for his financial support and moral care towards me.Also to my mentor --- for her academic advice she often gives to me. May Almighty God shield them from the peril of this world and bless their entire endeavour Amen.
ACKNOWLEDGEMENT
The successful completion of this project work could not have been a reality without the encouragement of my --- and other people. My immensely appreciation goes to my humble and able supervisor mr. --- for his kindness in supervising this project.
My warmest gratitude goes to my parents for their moral, spiritual and financial support throughout my study in this institution.
My appreciation goes to some of my lecturers among whom are Mr. ---, and Dr. ---. I also recognize the support of some of the staff of --- among whom are: The General Manager, Deputy General manager, the internal Auditor Mr. --- and the ---. Finally, my appreciation goes to my elder sister ---, my lovely friends mercy ---, ---, --- and many others who were quite helpful.
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Most doors are controlled by persons with the use of keys, security cards, password or pattern to open the door.The aimof this paper is toaccess a security door using face recognition. Face is a complex multidimensionalstructure and needs good computing techniques for recognition. This paper is comprised mainly of two subsystems: namely face recognition and automatic door access control. Face RecognitionbasedonESP32-CAM module. ESP32-CAM module is a low-cost development board with a very small size OV2640 camera and a micro SD card slot. It has an ESP32 S chip with built-in Wi-Fi and Bluetooth connectivity, with 2 high-performance 32-bit LX6 CPUs, 7-stage pipeline architecture. Thedoorwillopenautomaticallyfor the known person due to the command of the microcontroller. On the other hand, alarm will ring for the unknown person.
TABLE OF CONTENTS
COVER PAGE
TITLE PAGE
APPROVAL PAGE
DEDICATION
ACKNOWLEDGEMENT
ABSTRACT
CHAPTER ONE
- INTRODUCTION
- BACKGROUND OF THE PROJECT
- PROBLEM STATEMENT
- AIM AND OBJECTIVE OF THE PROJECT
- SCOPE OF THE PROJECT
- SIGNIFICANCE OF THE PROJECT
- PROJECT JUSTIFICATION
- APPLICATION OF THE PROJECT
- PROBLEM OF THE PROJECT
- LIMITATION OF THE PROJECT
- METHODOLOGY
- PROJECT ORGANISATION
CHAPTER TWO
LITERATURE REVIEW
- OVERVIEW OF FACIAL RECOGNITION SYSTEM
- HISTORICAL BACKGROUND OF FACIAL RECOGNITION TECHNOLOGY
- FACIAL RECOGNITION ACCESS CONTROL
- COVID-19 AND FACE RECOGNITION
- BENEFITS OF FACE RECOGNITION ACCESS CONTROL
- FACE RECOGNITION ACCESS: HARDWARE AND EQUIPMENT
- TYPES OF BIOMETRIC ACCESS
CHAPTER THREE
METHODOLOGY
- SYSTEM BLOCK DIAGRAM
- HARDWARE USED
- CIRCUIT DIAGRAM
- CIRCUIT DESCRIPTION
- IMPLEMENTATION
- SYSTEM FLOWCHAT
- PROGRAM CODE
CHAPTER FOUR
4.0 CONSTRUCTION PROCEDURE
- CASING AND PACKAGING
- ASSEMBLING OF SECTIONS
- PACKAGING
- TESTING THE ESP32-CAM FACE RECOGNITION
CHAPTER FIVE
- CONCLUSIONS
- REFERENCES
CHAPTER ONE
1.0 INTRODUCTION
1.1 BACKGROUND OF THE STUDY
Nowadays, automatic personal identification in access controlhas become popular by using biometrics data instead of usingcards, passwords or pattern. Most of the biometrics data haveto be collected by using special hardware such as fingerprintscanner,palm printscanner, DNAanalyzer.And,thetargetobjects have to touch with the required hardware in the stageof data collection. The advantage of this system is that facerecognition does not require to be touched with any hardware.Faceisdetectedautomaticallybyusingfacedetectiontechnique and the entire face recognition is completed withouttouching with any hardware. Face detection is the first step ofthe face recognition system. The performance of the entireface recognition system is influenced by the reliability of theface detection. By using face detection, it can identify only thefacial part of an image regardless of the background of thisimage. In this system, Viola-Jones face detection method isused.Viola-Jonesrescalethedetectorinsteadoftheinputimage and run the detector many times through the image –each time with a different size. Viola-Jones have devised ascaleinvariantdetectorthatrequiresthesamenumberofcalculationswhateverthesize.Thisdetectoris constructedusing a so-called integral image and some simple rectangularfeaturesreminiscentof Haarwavelets[Paul Viola, 2014].Facerecognitioncommonlyincludesfeature extraction,featurereductionandrecognitionorclassification.PCAisaneffectivefeatureextractionmethodbasedonfaceasaglobalfeature.Itreducesthedimension ofimageseffectively andholdstheprimaryinformationatthesametime.Inthispaper,facerecognitionsystemisimplementedusingcamera module. Recognition or classification is done by the measuremethod such as Euclidean distance, which is used to classifythe feature of images present in the database and test image.[Ayushi Gupta, 2014].
1.2 PROBLEM STATEMENT
Due to higher level of spreading of diseases such as corona virus which can be contacted by making contact with door knob which is the only way of opening and closing conventional door (according to world health organization (WHO, 2020)). Face recognition access control has quickly become the emerging technology in physical access due to a shift towards health-conscious solutions that also offer incredible security. Now, face recognition is creating the same secure and convenient access to our physical spaces. It’s a secure and convenient form of access to our information.
1.3 AIM AND OBJECTIVES OF THE PROJECT
- The main aim of this project is to construct a secure access control system to control the entry of various items through a door or a passage using a face recognition
. The objectives of the study are:
- To build a face recognition based automatic door
- To have an improved way of securing our environment
- To design architecture that constitutes the various components workingharmoniously.
- To secure and convenient access to our physical spaces.
- To recognize the detected faces and fingers by the use of a suitablealgorithm.
- To reduce human labour involves in guiding our environment
- Replace the traditional door lock system which is using mechanical lock and key mechanism with embedded system.
- To produce a security system that will be simple in its operation, cost effective, durable and easily maintainable.
- To ensures maximum and adequate security in our home and offices.
1.4 SCOPE OF THE STUDY
This work is focused on building a Face Recognition based Door Lock Control system using ESP32 Camera Moduleand a12V electronic lock. The AI-Thinker ESP32-CAM module is a low-cost development board with a very small size OV2640 camera and a micro SD card slot. It has an ESP32 S chip with built-in Wi-Fi and Bluetooth connectivity, with 2 high-performance 32-bit LX6 CPUs, 7-stage pipeline architecture.
1.5 SIGNIFICANCE OF THE PROJECT
This system offers its clients with simple, efficiently manageable software that provides a platform to maintain absolute security.
This project serves to automate the prevalent traditional tedious and time wasting methods of opening and closing our doors.Theuseofautomaticfacerecognition will increase the effectiveness of door security.
Applicationsoffacerecognitionarewidelyspreadinginareassuchascriminal identification, security systems, image and film processing [M.A.Turk, 2011]. The system could also find applications in all authorized accessfacilities.
1.7 APPLICATION OF THE PROJECT
Apart from using this device for home door access control, this device can also be used for places like:
- Organisation
- Offices
1.8 PROBLEM OF THE PROJECT
- It can only detect face from a limited distance.
- It cannot repeat live video to recognize missed faces.
1.9 LIMITATION OF THE PROJECT
As we all know that no human effort to achieve a set of goals goes without difficulties, certain constraints were encountered in the course of carrying out this project and they are as follows:-
- Difficulty in information collection: I found it too difficult in laying hands of useful information regarding this work and this course me to visit different libraries and internet for solution.
- Difficulty in parts gathering: I found it too difficult when gathering electronics parts used for the prototype.
1.10 PROJECT ORGANISATION
The work is organized as follows: chapter one discuses the introductory part of the work, chapter two presents the literature review of the study, chapter three describes the methods applied, chapter four discusses the results of the work, chapter five summarizes the research outcomes and the recommendations.
CHAPTER FIVE
5.1 CONCLUSIONS
In this paper, automatic door access system by using face recognition. Door is opened immediately after confirming that the person is authenticated. After 2 seconds, door is closed automatically. However, in real time, 2 seconds are not enough time to enter a person. So, longer time should be set for real-time condition. For face recognition, Principal Component Analysis method is used to extract the important features of facial images. Therefore, this system can be used in automatic verification of people to improve door security for strangers without needing security guards and wasting too many time.
CHAPTER TWO: The chapter one of this work has been displayed above. The complete chapter two of "design and construction of a face recognition automatic door opener using camera module" is also available. Order full work to download. Chapter two of "design and construction of a face recognition automatic door opener using camera module" consists of the literature review. In this chapter all the related work on "design and construction of a face recognition automatic door opener using camera module" was reviewed.
CHAPTER THREE: The complete chapter three of "design and construction of a face recognition automatic door opener using camera module" is available. Order full work to download. Chapter three of "design and construction of a face recognition automatic door opener using camera module" consists of the methodology. In this chapter all the method used in carrying out this work was discussed.
CHAPTER FOUR: The complete chapter four of "design and construction of a face recognition automatic door opener using camera module" is available. Order full work to download. Chapter four of "design and construction of a face recognition automatic door opener using camera module" consists of all the test conducted during the work and the result gotten after the whole work
CHAPTER FIVE: The complete chapter five of "design and construction of a face recognition automatic door opener using camera module" is available. Order full work to download. Chapter five of "design and construction of a face recognition automatic door opener using camera module" consist of conclusion, recommendation and references.
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