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
WEB-BASED ONLINE EMBEDDED SECURITY SYSTEM AND ALERTNESS VIA SOCIAL MEDIA MEHARAJ BEGUM.R [1], PRIYADHARSHINI.K [2], SWATHI.K [3], ANUSHA.P.M [4], SOFIYA JENIFER.J [5] Students [1, 2, 3], Assistant Professor [4, 5], Dept. of Electronics and Communication Engineering, Parisutham Institute of Technology & Science, Tamil Nadu, India. ---------------------------------------------------------------------***--------------------------------------------------------------------1.2 Aim of thesis Abstract - This paper presents about providing more security to BANK from intruder. Now a day protecting the BANK from the intruder became very difficult. So far providing the security, plenty of technology has been developed. These existing technologies cannot give the security properly. So we have introduced new technology to provide a more security by using rotatable camera. Key Words: HMM algorithm, Raspberry pi, Optical flow, Median filter, Kalman filter, Cmeans, Canny edge detection, Whatsapp
1. INTRODUCTION Security is most important in every place; without security it leads to greater loss; especially providing security to the bank is must to save all of our money; the motivation of this paper is to provide the better security to the bank by using new technology with latest equipment called Raspberrypi and it follows Hidden Markov model algorithm.
1.1 Background The features and colors of computer visual detection and vision always been an area of interest for popular companies can invest in costly high-level technology and machinery, but with the advent of cheap and small sized(debit-card computers such as the Raspberry Pi has a greater role in society. The RaspberryPi microcomputer was developed for the sole purpose of commercial and academicals use. The applications of any sort of computer vision or feature detection software in general are numerous. Examples: people tracking at shopping mall, surveillance systems with face recognition, helping robots to pick up objects and to navigate, are monitoring the equipment. The idea behind this is to form a foundation of knowledge regarding embedded systems, visual detection of objects and the basics of real-time image processing (or other features), upon which it is possible to add some layers of complexity and have to undergo further research with which to modulate projects ranging from less cost and face recognition or small real-time systems for simple object detection to high complex systems such as intelligent machines with self-learning robots with the capability of visual feedback.
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The main goal is to write a python application, with the help of Open CV libraries, which can be used on an embedded system, specifically a Raspberry Pi to: Capture the coloured blobs from web camera feed considering these blobs are objects, and save them in memory to keep track of their coordinates and other properties Attempt to confirm the linear and realistic movement of these objects Send helpful message about these objects and its movement continuously as datagram’s (using UDP protocol of network sockets) to any software which makes information requests. 1.2.1 Existing system In current state CCTV camera is used in all places especially in Bank for security purpose and CCTV camera has been checked to find the movement or fault in the bank. Consider the situation like the intruder is coming to bank by today night to steal the money and this can be detected by tomorrow morning only and then we will be checking the CCTV camera to find the intruder. 1.2.1.1 Disadvantage It fails to provide the high security It requires large memory space to store the images It fails to protect the money from the intruder. 1.2.2 Proposed system This proposed system is to provide the proper security to the bank by using raspberry pi kit and it follows the HMM algorithm .web camera captures the movement of object and send those images to the bank manager and to the police station via whatsapp for security alertness .and it helps to catch the intruder before he departure from the bank with money.
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