International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395 -0056
Volume: 04 Issue: 03 | Mar -2017
p-ISSN: 2395-0072
www.irjet.net
Biometric Identification Using Opencv Based On Arduino M.Renuka1, R.Sirish Kumar2, B.Vimani3, N.Ganesh Babu4,V.Radhesyam5 1 M.Renuka, IVth year B.TECH, INFORMATION TECHNOLOGY,V R Siddhartha Engineering College, Vijayawada 2 R.Sirish Kumar, IVth year B.TECH, INFORMATION TECHNOLOGY,V R Siddhartha Engineering College, Vijayawada 3 B.Vimani, IVth year B.TECH, INFORMATION TECHNOLOGY,V R Siddhartha Engineering College, Vijayawada th 4 N. Ganesh Babu,IV year B.TECH, INFORMATION TECHNOLOGY,V R Siddhartha Engineering College, Vijayawada 5 V. Radhesyam,Assistant professor,Department of IT,V R Siddhartha Engineering College, Vijayawada ---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - Dynamic identification of biometric system in
real world is difficult and it is an important task. With the advent of computers, there are growing interest on identifying context generated from human known as human biometric identification. The main aim of this project is to design and build a manually controlled biometric system. The main purpose of this system is that a system should be able to roam around in a given environment. The work is to identify the realistic human face and eyes through camera. Our method consists of three main components they are HC-SR501(PIR) sensor which senses and detects the object and by transferring the data serially from Arduino to 12C Interface which is connected to camera for classifying the activities and recognizing the complex action classes. The captured video can be enhanced and made intelligible using further image processing on the remote PC thereby eliminating the need for extra hardware on the system. Keywords: Camera, Arduino, 12C Interface, PIR Sensor, biometric, identification.
1.INTRODUCTION In those late years, identifying individuals to a feature scene of a reconnaissance framework is attracting a greater amount consideration because of its extensive variety about requisitions done abnormal occasion detection, human walk characterization, pernickety numbering clinched alongside An thick crowd, individual identification, sex classification, fall identification for elderly people, and so forth throughout this way, observing and stock arrangement of all instrumentation may be enha [12].
1.1 Benefits of Video Surveillance This is the process of monitoring a situation, an area or a person. This generally occurs in a military scenario where surveillance of borderlines and enemy territory is essential to a country’s safety [2]. Human surveillance is achieved by deploying personnel near sensitive areas in order to constantly monitor for changes. But humans do Š 2017, IRJET
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Impact Factor value: 5.181
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have their limitations, and deployment in inaccessible places is not always possible [1]. Thus, in recent times, surveillance technology has become an area of great research interest. The field of surveillance robots is quite popular. A lot of work has been done in control system of wireless surveillance robots. A common theme is also the use of a camera on the robot in order to receive live video feedback.
1.2 FACE DETECTION: Face Detection is an important functionality for many categories of mobile applications. It can provide search capabilities in photo catalogs, social applications etc..Face detection is a first step in face recognition functionality[10].
1.3 EYE DETECTION: Activate Face Detection to automatically detect human faces and focus with Eye Detection AF to ensure accurate focus on human eyes, even when using a shallow depth-of-field [3]. Combine these two functions to take your portrait photography to a new level. We are currently working on extracting higher level features.
1.4 BIOMETRIC: Biometrics generally refers to the study of measurable biological characteristics [4]. In computer security, biometrics refers to authentication techniques that rely on measurable physical characteristics that can be automatically checked.
2. SYSTEM DESIGN The block diagram of the proposed system as shown in Fig. 1 consists of sensing unit such as PIR Moisture ISO 9001:2008 Certified Journal
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