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
AUTOMATED SECURITY SURVEILLANCE SYSTEM IN REAL TIME WORLD Mr.S.RAVIKUMAR1, M.SARAVANAN2, V.THIRUMURUGAN3, K.VIGNESH4 1Assitant
professor, Department of information technology, Valliammai Engineering College, Tamilnadu, India Department of information technology, Valliammai Engineering College, Tamilnadu, India 3 Department of information technology, Valliammai Engineering College, Tamilnadu, India 4 Department of information technology, Valliammai Engineering College, Tamilnadu, India 2
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Abstract - Image processing has major role in providing
security in different fields. Instead of using manual security system The automatic system will replace the problems in manual security surveillance which brings ease and security in a better way because in this system we merges the work can be done by the man power which is performed by the camera itself. The camera itself assumes the bit rate of the object visible in the camera and it captures the image which is differed from the previous bit rate and store it in the client database and then the image is further send it to the server for comparison. In our project the camera checks very frames while it is running in server database. It checks the background image and the foreground image, if the foreground image is differed from the background image means it stores the frame to the local database and checks it with the admin database because the particular location can be used by the admin also. We can store up to five admin in the database. After checking it, if the image is a not authorized person means the system send the alert with the image to the admin.
Key Words: image capturing, image comparison, pattern recognition, k-means clustering, alert to user. 1. INTRODUCTION
The project is to discover a new method to protect the highly Confidential areas( banks, database centers, lockers). Nowadays the sucurity cameras needs a man power to watch it every second to protect but the mistakes can be happened by man power means the working of camera is totally waste so this is entirely a newer system to find the problems in the present time. we enhanced this to detect the any controversial events in the selected areas and its automatically initiate alarm at that location and sends the alert to the admin. The automatic system will replace the problems in manual security surveillance which brings ease and security in a better way because in this system we merges the work can be done by the man power is performed by the camera itself. The camera itself assumes the bit rate of the object visible in the camera and it captures the image which is differed from
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the previous bit rate and store it in the client database. And the image is further send it to the server for comparison. In this project it reduce the man power by automation of checking difference between the frames and intimating alert to the admin . And also reduce the storage space because it wouldn’t save the undiffered frame and also the authorized person’s face.
1.1 Existing system Motion human detection based on background subtracton- In this paper they usedbackground subtraction algorithm by this algorithm we can reduce the unwanted difference in the image The algorithm changes the original image into grayscale image and extracts the moving objects specifically.
1.2 Problems in existing system
The changes in the lightings affects the accuracy of the system to obtain the image
The change and also the movement in the trees also a change so it is difficult extract the perfect image.
2. Proposed system The below diagram explains the proposed work to be done in this project. It consists of components that can be assembled and easily integrated to obtain the preferred outcomes. In our system the web camera starts its activity to capture video. From that the system assumes the bit rate of the image and then it sequences the image according to the bit rate. If there is any changes in the upcoming bit rate means it leads to initiate the system to capture the image. After that the captured images are stored in the client database. And the images stored in the client database are the foreground image. Further the images in the client databases are forwarded to the server database. The images that are stored in the server databases are the background images. And now the comparison phases are started. In that the background images and the foreground images are compared and checked to obtain the differed images. And ISO 9001:2008 Certified Journal
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