Spontaneous Detection of Weapons in ATM Banks

  N.Nandhini,  M. Sri Sowmya,  P.Malarvizhi

Today’s automatic visual surveillance is prime need for security while taking amount in ATM and this paper presents first step in the direction of automatic visual weapon detection and detection of hidden objects from tera hertzs images. And giving the alarm sounds to the customer and send the message to security guard and nearby police station using Internet of Things. The objective of our paper is to analysis the existing framework for visual and hidden weapon detection for automatic surveillance. Here automated Gun Detection System connected to CCTV camera is used to examine outside the ATM center and detection of hidden weapons from tera hertzs images kept at the entrance of atm center. Both are used to avoid the criminal action.This framework exploits the color based segmentation to eliminate unrelated object from an image using k-mean clustering algorithm. Harris interest point detector and Fast Retina Keypoint (FREAK) is used to locate the weapons in the segmented images.And the hidden objects are detected from tera hertzs images by using three stages approaches. In the first stage, edge based segmentation is applied after smoothing the image using bilateral filter. In the next stage, transform invariant shape descriptors, Gabor and gray level co-occurrence (GLCM) texture features of interested object regions are computed. Finally, a Euclidean distance criterion is used for classification. For detecting the hidden objects from tera hertzs images detection rate and detection error are calculated. Experiment results are found to be promising performance of our system to detect a weapon with 1.04% detection error and 91.9% detection rate.

Keywords- Keywords: FREAK, GLCM and Internet of Things

Unique Identification Number - IJEDR1701068
Page Number(s) - 436-440
Pubished in - Volume 5 | Issue 1 | March 2017
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  N.Nandhini,  M. Sri Sowmya,  P.Malarvizhi,   "Spontaneous Detection of Weapons in ATM Banks", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.5, Issue 1, pp.436-440, March 2017, Available at :http://www.ijedr.org/papers/IJEDR1701068.pdf