The human face plays an important role in our social interaction, conveying people’s identity. Using the human face as a key to security, face recognition technology has received significant attention in the past several years due to its potential for a wide variety of applications in both law enforcement and non-law enforcement. A facial recognition system is a computer application for automatically identifying or verifying a person from a digital image or a video frame from a video source. One of the ways to do this is by comparing selected facial features from the image and a facial database. It is typically used in security systems.

When account holder selects the account holder banking option, then the account holder facing on the pi camera, the image is captured and compared with facial database and put the finger on fingerprint module. If both fingerprint and face got recognized, user can get the OTP. The account holder need to enter the OTP through keypad for continue the transaction, if anything wrong happens, a message of wrong attempt will be sent to the registered mobile number through GSM, the account holder and the photograph will be stored in the cloud database of bank, if user wants to see the photograph and other details of wrong entry, then details of wrong entry along with photograph can be seen after logging in to the user account.

The features of the project are:

1. Development of highly secure and intelligent ATM Service
2. Implementation of Face Recognition system.
3. Using GSM technology.
4. Using IOT technology.
5. Using KEYPAD to enter the OTP and other details.
6. Using Raspberry pi to archive this task.

The Major building blocks of this project are:

1. Regulated Power Supply.
2. Microcontroller
3. Pi camera.
4. DC motor with driver.
5. LCD display
6. Finger print module.
7. GSM module.
8. Keypad.
9. DC motor.

Software’s used:

1. Embedded Linux programming.
2. Express SCH for Circuit design.

Block Diagram:

video:

• To design and implement of fingerprint and face authenticated based real time student record management system.
• To design and implement face authentication of captured image using pi camera by Python platform on Raspberry Pi.
• The captured image is compared and verified with the database, if found matching then system gives the Green LED indications.
• In case failure of face authentication then system gives the RED led indication.
• To design and implement fingerprint authentication using finger print module by python platform and raspberry.
• By using two buttons we can enroll/delete the finger prints.
• This system also gives the red, green led indications for fingerprint access and denied.
• Visible alerts using LCD display.
• Using machine learning algorithm and raspberry pi to achieve this task.

The major building blocks of the project are:

• Power supply.
• Raspberry Pi
• Pi Camera
• Finger print module
• LCD display.
• Two push buttons.
• Red, Green LEDs.

Software’s used:

1. Embedded Linux programming.
2. Express SCH for Circuit design.

 

This project deals with design and development of the theft control system for an automobile, which is being used to prevent or control the theft. The developed system makes use of an embedded system-based vehicle Anti-theft control system using fingerprint and GSM module.

This system will generate the OTP through GSM which is connected to the microcontroller which is in turn, connected to the engine. This project makes a use of fingerprint module, GSM and keypad.

Human identification is a field very significant and which has undergone rapid changes with time. An important and very reliable human identification method is fingerprint identification. Fingerprint of every person is unique. So this helps in identifying a person or in improving security of a system. Finger prints of a person is read by a special type of sensor.

To access the vehicle user, place the finger-on-finger print module. Microcontroller will check the fingerprint with the stored fingerprints. If the finger print matches, this system will access the vehicle ignition automatically and it sends a message to the owner that the vehicle ignition is ON. If the finger print was didn’t match then it send a OTP(one time password) to the registered mobile number through GSM modem, the customer in turn needs to forward the same code through keypad, once the code is forwarded by the user, the controller checks the received code with the generated code. If it is matches this system will access vehicle ignition, otherwise it’s not possible. Bazar comes when wrong password or wrong fingerprint is detected by the microcontroller. The status of the project will display on LCD module. Here DC motor works as vehicle. Two push buttons are uses to store and delete the finger prints into the finger print module. To achieve this task microcontroller loaded program written in embedded C language.

Features:

• Design a vehicle theft prevention system.
• OTP and fingerprint-based vehicle authentication system.
• GSM technology for sending alert SMS and OTP.
• Buzzer for unauthorized access.
• Visible alerts using LCD display.
• To achieve this task using PIC18F452microcontroller.

The major building blocks of this project are:

1. Regulated power supply.
2. PIC18F452
3. Finger print module.
4. DC motor.
5. LCD display.
6. TWO buttons.
7. GSM.
8. Keypod
9. Buzzer.
10. Crystal oscillator.
11. Reset button.
12. LED indicator.

Software’s used for pic microcontroller:

• PIC-C compiler for Embedded C programming.
• PIC kit 2 programmer for dumping code into Micro controller.
• Express SCH for Circuit design.

Block Diagram:

video:

The system features four push buttons, two for fingerprint enrollment and two for navigation (up and down), a key panel for entering the OTP, a fingerprint sensor, an LCD display, a GSM module, a relay, a buzzer, an Arduino Uno microcontroller, a power supply unit, an electromagnetic lock, and 12V DC motors.

Upon successful fingerprint verification, the user is prompted to enter an OTP using the key panel. The OTP is sent to the user’s registered mobile number via GSM communication. If the OTP entered matches the OTP sent, the relay is triggered to unlock the electromagnetic lock, allowing access to the secured area. Otherwise, the buzzer is activated to alert of unauthorized access attempt. The status of the project will be displayed on the lcd.

This system provides a high level of security and convenience, eliminating the need for traditional keys or access cards. It also offers the flexibility of adding or removing authorized users through fingerprint enrollment, ensuring that only authorized personnel have access to the secured area.

Overall, the OTP Based Bank Locking System offers a reliable and efficient solution for securing bank vaults or sensitive areas, ensuring the safety of valuable assets and sensitive information.

• Finger print based real time security system.
• Audible alerts using Buzzer.
• Visible alerts using LCD display.
• Using Arduino to achieve this task.
• Enhanced security.

The main building blocks of the project are:

• Arduino microcontroller.
• Regulated power supply.
• Finger print module.
• Four push buttons.
• Relay along with Solenoid lock.
• Buzzer.
• LCD display.
• GSM module.
• Keyboard panel 4×4 matrix.

Software’s used:

1. Arduino IDE for compiling and dumping code into controller.
2. Express SCH for Circuit design.