Safe Vault Guard

Project Title

Safe Vault Guard

Project Area of Specialization Artificial IntelligenceProject Summary

The key feature of this project is to verify the person thru FIREBASE further more the system contains iris detection, face detection and security. To verify the authorized person. The person took the picture through phone and sends it to the fire-base. Then fire-base sends that to server and server verifies that through trained models and check whether the person is authorized or not. In the fire-base security side, the System which accesses the fire-base is secured face detection and retinal detection system. The face detection system open the system and the system runs only when the retinal system is running if the person move away from the system it will turn off the screen of a system. 

We use iris beacuse retinal scan is a biometric method that uses a unique pattern on the retina of a person to identify them.  Iris identification, often known as an iris scan and verification of the eye disc pattern the human retina is a thin tissue in the back of the eye that is made up of neural cells. The complex arrangement of the capillaries that provide blood to the retina makes each person's retina unique. Because the network of retina discs in the retina is not entirely genetically determined, even identical twins do not have the same pattern. A retinal scan is performed by projecting a low-energy infrared beam into someone's eye as they seem through the camera eyepiece. The retina's controlled path is followed by this beam of light. Due to the scabbing of the retinal disc, which absorbs light more readily than the surrounding tissue, the degree of reflection changes; the quantity of reflection varies due to the scan. The variations pattern is digitized and saved in the firebase.

Project Objectives

1. In the system, we are working on the backend security in which the purpose of this project is to reduce human efforts and to ensure the security of the organization.
2. In essence, the use of biometrics relieves individuals of the burden of memorizing passwords, and the people themselves effectively become their password. The use of biometrics, on the other hand, poses concerns about privacy, security, and user acceptability. The fact that people in general can recognize someone by looking at their eye solely, even if the rest of their face is hidden behind a mask, is the driving force for the research into eye biometrics. As a result, investigating the present status of ocular biometrics for identification is quite intriguing. These elements must be included to enhance the system's security.
3. We use iris detection because everyone's retinal disc is different, this approach is more safe and effective. The people don’t have to remember anything, just put the eye near camera, capture the image and put into the firebase so that they may use the bank card, the door, or any other application this eye detection technology can make today's security system safer.
4. For fire-base security the system which accesses the fire-base can be accessed by face detection and the system will be accessible if the person sees in the camera of a system.

Project Implementation Method

The project is implemented by following the below-stated steps in the sequence as written.

• First we do literature review and research work to find information relevant to the project, including algorithms detail and method/techniques to be used. 
• Register/ Signup: Can register user itself easily by the using of mobile app and then easily capture and upload the image easily after register yourself first.
• Login: The user can login easily by adding username and password in the given field of our app.
• User unique identification: The system is ableto do recognition and will do the user unique identification
• Security Requirements: Only those users are allowed to use this application which have given permission by security guard and have account in this application. And without eye and face recognize the system can’t open if eye detect the system opens otherwise system block out and if face recognize system runs otherwise lock the system.
• Firebase: To authenticate users to your app, the system includes backend services, easy-to-use SDKs, and ready-made UI libraries. It supports passwords, phone numbers, and major federated identity providers such as Google, Face book, and others.
• Human eye: The system also includes the sets of human eyes for authentication whether the user is verified or not. The system can process disk and match the disk from the database if the disk is matched to the database to verified the user and update in the mobile app that it is verified or not verified.

Project flow is described in below image:

Benefits of the Project

A Safe Vault Guard is multi security system which is designed to ensure the security of safe and items in a vault or anything through that door. For the identification and the authentication procedure which is utilized in several fields is retinal authentication system .Some of its uses are as follows:

• Banks
• Lockers
• Gates
• ATM’s and iris recognition
• Forensics :Tracing an individual
• Highly secured systems
• As a login password
• Home automation

Technical Details of Final Deliverable

The final deliverables of our project will be as follow: 

•  Mobile App: The person took the picture through phone and sends it to the fire-base.
•  The system only accepts the human retinal picture through a camera and rejects every picture an eye which has eye picture on a page.
•  Then fire-base sends that to server and server verifies that through trained models and check whether the person is authorized or not.
•  Server: In the fire-base security side, the System which accesses the fire-base is secured face detection and retinal detection system.

Final Deliverable of the Project Software SystemCore Industry SecurityOther Industries IT Core Technology Artificial Intelligence(AI)Other Technologies NeuroTechSustainable Development Goals Industry, Innovation and Infrastructure, Life on Land, Peace and Justice Strong Institutions, Partnerships to achieve the GoalRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	53500
RAM 16 GB	Equipment	4	2000	8000
SSD 512 GB	Equipment	1	10000	10000
GPU Radeon Rx 470 4gb	Equipment	1	31000	31000
Printing	Miscellaneous	3	1500	4500