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. Here we show you the technology which predicts the suicide bombers and explosion of weapons through Image Processing for Conclead Weapon Detection. The detection of weapons concealed underneath a person’s clothing is very much important to the improvement of the security of the general public as well as the safety of public assets like airports, buildings, and railway stations etc. Manual screening procedures for detecting concealed weapons such as handguns, knives, and explosives are common in controlled access settings like airports, entrances to sensitive buildings and public events. It is desirable sometimes to be able to detect concealed weapons from a standoff distance, especially when it is impossible to arrange the flow of people through a controlled procedure in the present paper we describe the concepts of the technology ‘Concealead Weapon Detection’ the sensor improvements, how the imaging takes place and the challenges. And we also describe techniques for simultaneous noise suppression, object extraction.