Face Recognition System in C#
Project Context
Table of Contents
These days, high technology has advanced too far, changing even the most fundamental aspects of how people live their lives. People seriously use technology, dedicating themselves to inventing novel solutions that fundamentally alter society. Researchers create the Face Recognition system in this setting, allowing individuals to quickly watch and detect things using a person’s face. Face recognition systems are widely applicable in a variety of industrial fields, as well as in government institutions and educational institutions where they are used to track faculty and student attendance. This will also be used in the private sector, such as in businesses, to handle vital papers securely, particularly in locations where security is strengthened. Such processes as attendance and/or monitoring were performed physically and manually in a traditional way of doing business. This approach typically requires a lot of work, takes a long time, can result in mistakes, and has a tendency to fail. Every institution requires a face recognition system since it will make traditional methods better and more organized.
The system’s researchers intend to develop the system, which will improve the detection and monitoring procedures as well as the current methods of checking and monitoring attendance. Face recognition will be used by the system. The system will be made up of a camera that will record a person’s face and then compare it to the faces that are saved in a database for detection and recognition. The system will send an SMS to the individual and institution notifying them that the process was successfully documented after the captured image has been successfully identified.
Uses and Purpose of Face Recognition System
Face recognition software determines whether the face in the front camera belongs to the right person for the process of validating and identifying a person using their face. The technology will keep a database of the people’s faces. The system’s face database will be used to identify the student’s detected image for the intended process. It records patterns based on a person’s face characteristics, analyzes them, and compares the results. Its goal is to make verifying, monitoring, and detecting intended users’ attendance and other types of purposes more efficient. To do this, it scans and detects a user’s face and compares it to photos kept on the server to log their presence. Using the system will make it simpler to keep track of attendance and procedure. The system will be in charge of maintaining a record of everyone present at events taking place at an institution. Additionally, the monitoring process will be paperless, which will save the bodies or officers in charge time and hassle.
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Objectives of the Study
General Objectives – the system generally aims to develop and create the face recognition in its valuable purpose and effectiveness.
Specifically the study aims to:
- The goal of the study is to create an effective face detection system that is reliable and accurate.
- The system will operate as the sole central monitoring station for a certain establishment, enabling the detection procedure.
- The system will decrease errors made while record keeping and when entering data and information.
- The technology will make monitoring easier to do and save time doing it.
- The system will offer a reliable list of those who attended each institution event.
- to assess the system’s functionality, user acceptability, productivity, quality, portability, maintenance, and reliability.
Development Tools
The recording of a person’s attendance at a particular event will be automated by the Face Recognition System. By using face detection, the system will record each person’s attendance. The system will make it simple, quick, practical, and accurate to record attendance.
You can get an idea of the forms that should be used in a face recognition system from this page. The aforementioned project was developed using C#.
On demand, the project’s documentation is provided (chapters 1 to 5). For the full project documentation, feel free to message us.
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Features of the System
- Log Book Records –The information about a specific person that the facial recognition system would detect will be recorded in this module. The crucial information of a person will be captured in this feature and used as a file that the establishment will have access to. Every registered user will be directly recorded with this module, making their information easy to discover and secure to maintain. This feature will give the admin a great deal of ease and comfort. When they make adjustments, they might also change the records. The aforementioned module will keep track of data including date, ID, username, Last name, First name, Middle Initial, age, gender, contact no, barangay, time in and time out, municipality, and province. A certain person can alter, such as to confirm, delete and cancel for confirmation.
- Log Book Report – After the data from the log book records has been captured, this module generates a report that includes a list of the people the facial recognition system identified. This module will display all of the data from the recorded log book as proof of that particular person.
- Registration Form –This form will display some crucial data that is required for that particular person to be present at an event. It is a private piece of knowledge that is kept safe for the benefit of other people. All of the information collected will be kept private and used only to store data in this system. This information will be used as the individual’s confirmation procedure; once the person registers this information, it immediately recognizes the confirmation. Username, first and last names, middle initials, gender, contact information, barangay, municipality, province, registration date, church, and user type are among the details displayed.
- Export Report – This module will act as the establishment’s or the administrator’s copy and file. It is a necessary feature in order to maintain the list of attendees when using a face recognition system. Maintaining records and keeping track would also be simple.
- Face Enrolment Module – Enrollment using face recognition is possible with this module. the system will take pictures of users and store them on a server as a reference for face recognition.
- Face Scanning and Attendance Module- This module will be used to track everyone’s attendance electronically. The attendance will be automatically recorded in this module.
Credits to the developer of the project
Screenshots
Conclusion
Every area of life and every sector of industry have advanced and developed significantly as a result of technology. Face recognition technology has numerous positive effects and advantages. Record keeping and presence monitoring are such heavy tasks that they give off the impression of being prone to mistakes. The researchers used this as inspiration to evaluate the present manual procedures used to record attendance in every establishment. According to the preliminary investigation, schools are still using a manual approach that has a high error rate. The researchers used this information to create a facial recognition system and display it to the intended end users. The result of the study showed that the developed system met the needs and requirements of the end-users and respondents.
Thus, the researchers came to the conclusion that the system devised is a useful technique for making screening and registering attendees at events easier. The use of the Face Recognition system will make it simpler to track and record attendance. The solution will get rid with all the mistakes and issues with the manual attendance system. The system’s implementation will result in accurate, timely, convenient, and efficient attendance tracking.
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Recommendations
The study’s substantial findings led the researchers to strongly advise against using the Face Recognition System. The system is advised due to the target users’ ability to benefit from its effectiveness and dependability. The researchers stress the necessity of having sufficient system operating knowledge in order to use the system effectively. Establishments should set up the system so that attendees to events can be simply and precisely recorded. The system should be put into place since it will produce a reliable and accurate record of who attended events. The system should make verifying and recording attendance quick, simple, effective, timely, and accurate, according to the study.
Summary
Technology has advanced so quickly that it has altered how we go about our daily lives. Technology has streamlined our daily activities. Face recognition technology will be used in the capstone project, “Face Recognition System,” to automatically check and record attendees at events. Face recognition systems are widely applicable in a variety of industrial fields, as well as in government institutions and educational institutions where they are used to track faculty and student attendance. Face recognition software determines whether the face in the front camera belongs to the right person for the process of validating and identifying a person using their face. The technology will keep a database of the people’s faces. It has unique and useful features that are important to this system’s efficiency. Features like the Face Enrolment Module, Face Scanning and Attendance Module, Registration Form, Log Book Records, Log Book Report, Export Report, and Log Book Report.
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