HVS-3120. Face recognition and finger print authentication System using Raspberry Pi.
₹15,000.00
Biometrics refers to metrics related to human characteristics. Biometrics authentication (or realistic authentication) is used in computer science as a form of identification and access control. It is also used to identify individuals in groups that are under surveillance.
Description
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Description
Reviews
Biometrics refers to metrics related to human characteristics. Biometrics authentication (or realistic authentication) is used in computer science as a form of identification and access control. It is also used to identify individuals in groups that are under surveillance. Human face recognition plays an important role in video surveillance, human-computer interface, personalizing different applications. In this project we develop a security system which is access with a face and finger print using face recognition technology and finger print technology by using pi camera and fingerprint scanner. The Intelligent system proposed makes use of raspberrypi3. To perform this task, Raspberry Pi processor is programmed using embedded ‘Linux’. The status of the project will display on LCD module. And this system gives the LED indications about the person face and finger print authenticated or not.
The objectives of the project are:
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- To design and implement of fingerprint and face authenticated based real time security 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 give the red, green led indications for fingerprint access and denied.
- Visible alerts using LCD display.
- Power supply.
- Raspberry Pi
- Pi Camera
- Finger print module
- LCD display.
- Two push buttons.
- Red, Green LEDs.
- Embedded Linux programming.
- Express SCH for Circuit design.
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