International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 10 Issue: 05 | May 2023
p-ISSN: 2395-0072
www.irjet.net
Real Time Image Based Attendance System using Python Kumud Sachdeva1,Shiv Chauhan2, Neelansh Garg3 ,Shubham Yadav4,Aditya Verma5 1Professor,dept. of CSE, Chandigarh University, Punjab, India
2First year UG student, dept. of CSE, Chandigarh University, Punjab, India 3First year UG student, dept. of CSE, Chandigarh University, Punjab, India 4First year UG student, dept. of CSE, Chandigarh University, Punjab, India 5First year UG student, dept. of CSE, Chandigarh University, Punjab, India ---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - Attendance system is an integral part of any
accurate, precise, trustworthy and less prone to faults and errors.
organisation’s daily routine. The traditional method of marking attendance on paper sheets is not very efficient but also wastes a lot of time and energy. Also, the chances of errors like student proxy attendance are also high and the system is error prone. With the advancement in technology, facial recognition systems have gained great importance and also seen great development in its field of study and application. Using the current facial recognition modules or algorithms, we can develop a real time image based attendance system which will be using facial detection and recognition in marking the attendance of the students. In this paper , we have proposed a real time image based attendance system that uses computer vision techniques to detect and recognise the face(s) of a student. The system is built on mainly capturing the image, preprocessing the image, applying facial algorithms and storing the data in the database. The proposed system offers various features like accuracy, speed ,efficiency and ease of use. Moreover, the system helps to reduce the chances of errors which persist in the traditional methods and also provides real time attendance records.
The most important advantage of real time image based attendance systems is that they can store records of attendance as it happens without wasting any time in manual sign in attendance record maintenance. Moreover, this system can be improved and can be appended as per the needs of the organisation. Another advantage of this system is its accuracy. The traditional methods are not accurate as it can be easily affected by mistaken identities of students and false entries by the employees even. But with the help of these systems, we can easily get rid of the errors we are facing previously because the systems use biometric data (face) to mark the attendance which minimises the errors. Moreover, the systems can be modified to send notifications to the absent candidates or students or employees. Real-time image-based attendance systems are also userfriendly and convenient for individuals. In today’s world where we have to maintain good hygiene against various diseases and allergies, individuals can mark their attendance by just moving into the designated area without any kind of physical contact with paper and pen as they can be a source of virus like COVID-19. Using the above system, we can easily mark attendance and also maintain our hygiene and health.
Key Words: Face recognition, Face detection, Python ,OpenCV, Haar Cascade, LBPH
1.INTRODUCTION Attendance tracking plays an integral role in every field of the workplace whether it be schools, universities or offices. The traditional methods of marking attendance using the pen paper or punch cards are not very much efficient and accurate and can also lead to inconsistencies. With the help of current technologies, we can design a real time image based attendance system using facial recognition.
In conclusion, real-time image-based attendance systems offer a reliable, accurate, and efficient way to track attendance in various settings. With its ability to operate in real-time, provide accurate identification, and userfriendly features, this technology has the potential to revolutionise attendance tracking for the future.
Real time attendance systems use images or videos and facial recognition to mark the attendance of the individuals as they enter a designated workplace like classroom, lecture halls, offices, etc. These systems capture images in the real time and compare them with the existing datasets provided to the system and verifies the individual’s identity in a short period of time. The results produced using the above mentioned system will be more
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2. RELATED WORK Our work was motivated by the research and publications of the individuals mentioned, which drew upon both physiology and information theory as well as the practical need for fast-real-time performance and accuracy. Rather than relying on the recovery of three-dimensional geometry, this computerised approach treats face
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