HVS-3303. Retrieval of student’s data based on biometrics.

₹16,000.00

Categories ECE, EIE Tags Finger print module, Raspberry pi

Information is an important part of any system. In the academic world, information is especially very important and essential. Students have to register for courses, take attendance, quizzes, and exams and as well as check their scores. Years after graduating from the school, students come back asking for transcript. It is therefore very important to handle students’ records in a way that is accessible, maintainable and secure. The manual method of cumulating and storing student record is often prone to various degrees of human error and is also unsecured making it exposed to unauthorized personnel. This project presents the design and development of a biometric and face recognition-based student record management system using machine learning that provides an interface between student and the institution to enable prompt checking of student image and details. This system will store each student details into the web browser through IOT. In this project we are using both pi camera and finger print module for face recognition and finger print authentication. The Status of the project will display on LCD. The Intelligent system proposed makes use of raspberrypi3. To achieve this task raspberry pi loaded program written in embedded C language.

The objectives of the project are:

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: