IOT Based Biometric System
- April 13, 2018
- Posted by: RSIS
- Categories: Electrical and Electronics Engineering, Electronics & Communication Engineering
International Journal of Research and Scientific Innovation (IJRSI) | Volume V, Issue IV, April 2018 | ISSN 2321–2705
Pratik Rahood1, Prof. R U Shekokar2
1Electronics & Telecommunication Engineering, RMD Sinhgad School of Engineering, Pune, India
2A.P., Electronics & Telecommunication Engineering, RMD Sinhgad School of Engineering, Pune, India
Abstract- This paper deals with face detection and fingerprint scanning for an attendance recorder system for the purpose of maintaining attendance details of the students. Student’s faces and fingerprints are pre stored in class databases. Raspberry pi camera capture the student face and compared to database image if it is matched means that student attendance register with time. The record will be stored to online database. The Raspberry Pi is a credit card sized single computer or SoC uses ARM1176JZF-S core. System on a Chip is a method of placing all necessary electronics for running a computer on a single chip. Raspberry Pi needs an Operating system to start up. In the aim of cost reduction, the Raspberry Pi omits any on-board non-volatile memory used to store the boot loaders, Linux Kernels and file systems as seen in more traditional embedded systems. Rather, a SD/MMC card slot is provided for this purpose. After boot load, as per the application program Raspberry Pi will get execute.
Key words: Soc, Raspberry, Attendance system
I. INTRODUCTION
Taking attendance in a class or in a organization is very important. Maintain those attendance plays a crucial role for an institution or an organization. Important thing is how to take Attendance. Conventional way of taking attendance in schools is by calling of names by teacher, students responding on their roll numbers and putting ‘A’ or ‘P’ on log book accordingly. Other methods of taking attendance are RFID cards, biometric identifiers like fingerprint, face recognition, palm print, hand geometry, iris recognition etc. But conventional method looks better as it is cheaper and more reliable as observer is human being itself. Biometric recognition has the potential to become an irreplaceable part of many identification systems used for evaluating the performance of those people working within the organization. Although biometric technologies are being applied in many fields it has not yet delivered its promise of guaranteeing automatic human recognition. Face recognition is a technique of biometric recognition. It is considered to be one of the most successful applications of image analysis and processing; that is the main reason behind the great attention it has been given in the past several years.
