Concealed Weapon Detection

Project Title

Concealed Weapon Detection

Project Area of Specialization Electrical/Electronic EngineeringProject Summary

The identification of weapons concealed beneath any person outfit is a significant impediment in the way of balancing the safety of the overall population and the wellbeing of people resources like railway stations, lives and structures. Metal detector which is an example of manual screening techniques for detecting weapons for example revolver, knifes and explosives are regular in cover admittance settings like railway stations, schools ,colleges, parks, universities, police stations, check posts etc. Yet, during manual checking we discover a lot of issues. For instance during illegal intimidation assault suicide bombers when going to check physically they make blast of themselves and cause an immense misfortune. Here we should discover a technique to recognize such people from a distance to improve our security frameworks. We will likely make up a strategy with the end goal of disguised weapons utilizing image processing by the utilization of infrared radiations and sensor technology. The fundamental cycle of our framework is created by a calculation utilizing a shading visual image and an IR image. Yet, we can use infrared radiation to show the image of a beneath weapon only at one condition when the outfit is compact, slender and fixed. When we have flabby dress the radiation will spread over the outfit and diminishing the capacity to get the image of beneath weapon. We will do our best to solve this issue in latter after the completion of our project.

Project Objectives

 The purpose of our studies is to develop an instrument which is used to scan harmful items which are underneath tight clothes. During this purpose we have used number of techniques for the detection of harmful items which are well explained in literature review.

Project Implementation Method

       First of all, we take images/live video from camera sensor. The IR image is distribution of temperature. After this Image processing will be simple tasks like image resizing. For the purpose of dataset both visual and IR images must be the same in size. On further processing tasks include color transformation or converting color to gray scale. After this we will use image fusion process which will help us to collect all the important information from multiple images and find out the harm full items which we have programmed and give us our required single image including weapon. Now we can easily detect object which will be easier and more reliable when performed on the fused image. After object detection, we use Feature extraction technique which will focus on a large number of pixels of the image which are efficiently represented in such a way that weapon part of the image are captured effectively. Now we will use training for the purpose of testing model. And object classification is used to classify different kind of objects.

Benefits of the Project

We can apply this project in the following areas: -

• Airports
• Railway Stations
• Entrance of any premises where the chances of risk can rise suddenly
• Military Sensitive places

We also use this technique more precisely in dangerous weapons and in explosive things to save and protect Mankind

Technical Details of Final Deliverable

Thermal Camera:

Used  for observing the movements of people.

Raspberry PI 3:

Different algorithms programming is done.

Visual Camera;

used for visual image.

Quadcopter:

used for survillance

IR 4:

measure and detect infrared radition in it's surrounding enviornment.

 

 

Final Deliverable of the Project HW/SW integrated systemCore Industry SecurityOther Industries Education , Transportation Core Technology Internet of Things (IoT)Other Technologies Artificial Intelligence(AI)Sustainable Development Goals Peace and Justice Strong Institutions, Partnerships to achieve the GoalRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	64200
Thermal Camera	Equipment	1	21000	21000
Raspberry PI 3	Equipment	1	12000	12000
Visual Camera	Equipment	1	1200	1200
Quadcopter	Equipment	1	22000	22000
IR 4	Equipment	1	8000	8000