IJSRST173180 | Received: 20 Feb-2017 | Accepted : 27 Feb-2017 | January-February-2017 [(3)1: 390-393 ] © 2017 IJSRST | Volume 3 | Issue 1 | Print ISSN: 2395-6011 | Online ISSN: 2395-602X Themed Section: Science and Technology 390 Human Face Detection System for Door Security Shrutika V. Deshmukh 1 , Prof. Dr. U. A. Kshirsagar 2 1 ME Student, Department of Electronics and Telecommunication, HVPM’s College of Engineering and Technology, Amravati, Maharashtra, India 2 HOD, Department of Electronics and Telecommunication, HVPM’s College of Engineering and Technology Amravati, Maharashtra, India ABSTRACT Face detection is challenging problems up to date; there is no technique that provides a robust solution to all situations. This paper presents a new technique for human face detection. Face detection is concerned with finding real image. Most face detection algorithms are designed in the software domain and have a high detection rate, but they often require several seconds to detect faces in a single image, a processing speed that is insufficient for real- time applications. This describes a simple and easy hardware implementation of face detection system using Raspberry Pi, which itself is a minicomputer of a credit card size. The system will program using Python programming language. Both real time face detection and detection from specific images, i.e. Object Recognition, will be carried out and the proposed system will test across various standard face databases, with and without noise and blurring effects. Keywords: Face detection, Raspberry Pi, Door security, Python I. INTRODUCTION Traditional security systems require the user a key, a security password, an RFID card, or ID card to have access to the system. However, these security systems have deficiencies; for example, they can be forgotten or stolen from unauthorized people. As a result, there is a need to develop software that guarantees a higher security level. Face recognition is one of the most popular methods of biometric technology. In this we come up with a new hardware system for human face detection which makes use of Raspberry Pi. It is a credit-card sized computer with the components mounted on a credit card sized motherboard, running a dedicated version of Linux. It plugs into TV and a keyboard. It is a capable little computer which can be used in electronic devices and for much functionality that a desktop computer can perform. It comes at a very low price use OPEN CV library that can be formulated as given images of a scene identify or verify one or more persons in the scene using a stored database of faces. The basic flow of the face recognition system is the image captured by camera. The algorithm detects the face and extracts its features. After the extraction, system matches the captured images with data base images. In the decision box the result of the matching is decide which is face match or the no face match. After that SIM300 GSM module sends an security alert to the authorized person which is entry successful or unauthorised person trying to unlock. Tools used are normal and widely applied for current applications and python as the main programming language &Linux based operating system. The system may be implemented in real time systems requiring user authentication such as attendance systems, ATM security, Network security, In Bank locker, Home automation. II. LITERATURE SURVEY As From the rigorous review of related work and published literature it is observed that many researchers have designed different techniques for human face detection. L. Ma, Y. Xiao, and K. Khorasani [1]. In this paper researcher is proposed a new technique for facial expression, which uses the two-dimensional (2D) discrete cosine transform (DCT) over the entire face