students attendence by using fingerprint reader
Abstract : The project work aims at designing a student attendance system which could effectively manage attendance of students of the department of Computer Science and Engineering at Jatiya Kabi Kazi Nazrul Islam University. In this project work, attendance is marked after student’s biometric identification.
For student identification, a fingerprint recognition based identification system is used. Fingerprint features are considered to be the best and fastest method for biometric identification. These features are more secure to use and unique for every person that don’t change in one's lifetime.
Fingerprint recognition is a mature field today, but still identifying individual from a set of enrolled fingerprints is a time taking process. It was very necessary to improve the fingerprint identification system for implementation on large databases, e.g. of an institute or a country.
In this project, the minutiae algorithm is used to develop the identification system which is faster in implementation than any other available today in the market.
An automated system eliminates the need for paper tracking and instead makes use of barcode badges, electronic tags, touch screens, magnetic stripe cards or even biometrics (fingerprints, retinal scans and facial features).
makes life easier for both the employee and the business as work hours are logged automatically when the employee enters and leaves the office. This eliminates the possibility of timesheets getting lost or manipulated.
It also saves a lot of time for the payroll department since automated systems usually have integrated reporting functionalities which take care of most of the pay processing.
In this project work, fingerprint-based attendance system has been introduced for automatically monitoring and calculating the student attendances in a class.
Privacy Concerns: Fingerprint data is sensitive personal information. If not managed securely, it could be vulnerable to misuse or unauthorized access, raising concerns about data privacy and security.
False Rejections/Acceptances: Fingerprint readers can sometimes produce false rejections (where a valid fingerprint is not recognized) or false acceptances (where an invalid fingerprint is accepted). This can lead to issues with accurately tracking attendance.
Cost: High-quality fingerprint readers can be expensive to purchase and maintain. For institutions with limited budgets, the cost can be a significant barrier.
Hygiene Issues: Fingerprint readers are physical devices that can accumulate germs, particularly in high-traffic environments like schools. Regular cleaning and maintenance are necessary to address hygiene concerns.
In this project IOT Biometric Project, we learn to build Student’s Attendance Monitoring System Using Fingerprint Module, Node MCU ESP8266 12E, Oled display & R305 Fingerprint Sensor. The ESP8266 Wi-Fi Module will collect the fingerprint data from the multiple users and sends it over the internet to a website.
The enrolment of fingerprints is done on the server using R305 or R307 or any other compatible fingerprint sensor and verification is done on the client with the transmission of fingerprint templates over the network.
The website that is coded in PHP has a data base and records of attendance .By logging into the website, can collect all the attendance records of each user including personal details as well as incoming &outgoing timing.
This project has a wide application in school, college, business organization, offices where marking of attendance is required accurately with time. Thus, by using fingerprint sensor, the system will become more secure for the users.
Enhanced Accuracy: Fingerprint readers provide a high level of accuracy in identifying individuals, reducing the likelihood of fraudulent attendance reporting compared to manual systems.
Efficiency: The process of recording attendance is streamlined, reducing the time and effort required to take roll calls or manually record attendance. This can lead to more efficient classroom management.
Automatic Record Keeping: Attendance data is automatically recorded and stored digitally, minimizing the risk of human error and making it easier to track and retrieve historical attendance records.
Prevention of Proxy Attendance: Fingerprint systems ensure that the person present is indeed the student whose attendance is being recorded, preventing the common issue of students marking attendance for their peers.
|