Concealed Weapon Detection Using Image Processing
Bhavna B. Khajone, Vijaya K. Shandilya · 2012
We have recently witnessed the series of bomb blasts in Mumbai which killed and left many injured, left the world in shell shock and the Indians in terror. This situation is not limited to India but it can happen anywhere and anytime in the world. Here we show you the technology w hich predicts the suicide bombers and explosion of weapons through, IMAGING FOR CONCEALED WEAPON DETECTION. 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. The detection of weapons concealed underneath a person's clothing is an im- portant obstacle to the improvement of the security of the general public as well as the safety of public assets like airports and buildings. It is desirable 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 proce- dure. The goal is the eventual deployment of automatic detection and recognition of concealed weapons. It is a technological challenge that requires innovative solutions in sensor technologies and image processing. A number of sensors based on different phenomenology as well as image processing support are being developed to observe objects underneath people's clothing. In 'CONCEALEAD WEAPON DETECTION' the sensor improvements, how the imaging place techniques for simultaneous noise suppression, object enhancement of video data and describes mathematical results(1).