Weapon Detection Using YOLO V3 for Smart Surveillance System

Smart Surveillance using PDA

The aim of this research is to develop a fast and reliable surveillance system based on a personal digital assistant (PDA) device. This is to extend the capability of the device to detect moving objects which is already available in personal computers. Secondly, to compare the performance between Background subtraction (BS) and Temporal Frame Differencing (TFD) techniques for PDA platform as to...

Smart Surveillance System for Face Recognition

Smart surveillance system refers to video level processing techniques for identification of unwanted (terrorist) faces from real time video. Video object segmentation is an important part of real time surveillance system. For any video segmentation algorithm to be suitable in real time, must require less computational load. The work presented here is divided into two main parts: (1) Face Detect...

Smart Pulse Wave Detection System Using Intelligence

The pulse rate in the human species is a significant factor in oriental medicine. Pulse wave is a potential energy which has been generated by main artery expansion from the left ventricle, transforms into kinetic energy and passes through the vessel wall to the peripheral nervous system. In this paper, observations of patterns will be used to determine the blood circulation pulse wave which ha...

Weapon changes over time after initiation of a comprehensive weapon surveillance system.

Concealed Weapon Detection Using Image Processing

We have recently witnessed the series of bomb blasts in Dilshuknagar, Hyderabad. Bombs killed many and left many injured. On Feb 22nd two explosions took place with in one hour. And left the world in shell shock and the Indians in terror. This situation is not limited to Hyderabad but it can happen any where and any time in the world. People think bomb blasts can’t be predicted before handled. ...