Presented by
K.SATISH KUMAR
P.KARTHIK

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ABSTRACT
We have recently witnessed the series of bomb blasts in Mumbai. Bombs went of in buses and underground stations. And killed many and left many injured. On July 13th seven 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 Mumbai 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 enhancement of video data and show some mathematical results.
INTRODUCTION:
Till now the detection of concealed weapons is done by manual screening procedures. To control the explosives in some places like airports, sensitive buildings, famous constructions etc. But these manual screening procedures are not giving satisfactory results, because this type of manual screenings procedures screens the person when the person is near the screening machine and also some times it gives wrong alarm indications so we are need of a technology that almost detects the weapon by scanning. This can be achieved by imaging for concealed weapons.
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.
The problem also presents challenges in the legal arena; a number of sensors based on different phenomenology as well as image processing support are being developed to observe objects underneath people’s clothing.
IMAGING SENSORS
These imaging sensors developed for CWD applications depending on their portability, proximity and whether they use active or passive illuminations. The different types of imaging sensors for CWD based are shown in following table.
1.INFRARED IMAGER:
Infrared imagers utilize the temperature distribution information of the target to form an image. Normally they are used for a variety of night-vision applications, such as viewing vehicles and people. The underlying theory is that the infrared radiation emitted by the human body is absorbed by clothing and then re-emitted by it. As a result, infrared radiation can be used to show the image of a concealed weapon only when the clothing is tight, thin, and stationary. For normally loose clothing, the emitted infrared radiation will be spread over a larger clothing area, thus decreasing the ability to image a weapon.
2. P M W IMAGING SENSORS:
FIRST GENERATION:
Passive millimeter wave (MMW) sensors measure the apparent temperature through the energy that is emitted or reflected by sources. The output of the sensors is a function of the emissive of the objects in the MMW spectrum as measured by the receiver. Clothing penetration for concealed weapon detection is made possible by MMW sensors due to the low emissive and high reflectivity of objects like metallic guns. In early 1995, the MMW data were obtained by means of scans using a single detector that
Took up to 90 minutes to generate one image.
Following figure1 (a) shows a visual image of a person wearing a heavy sweater that conceals two guns made with metal and ceramics. The corresponding 94-GHz radiometric image figure1 (b) was obtained by scanning a single detector across the object plane using a mechanical scanner. The radiometric image clearly shows both firearms.