weapon detection system

Project Title

weapon detection system

Project Area of Specialization Computer ScienceProject Summary

This project explains the execution of a weapon detection system.Due to the increase theft and criminal activities which gradually effects the economy and well being of our society and human life.This system needs to detect weapons concealed under clothing or any material.This system is designed using a MMW camera and image processing.This system is designed to work in real time environment.

Project Objectives

1. The main goal is to reduce the crime activities openly
2. to help reduce illegal possession of firearm
3. and to reduce human casualty risk by discarding manual search of hidden weapon under clothing

Project Implementation Method

1. Methodology:

The methodology is classified into 5 parts as below:

Phase-1

Hardware Implementation

Milimeter Wave Camera MMW

Proximity Sensor

Tablet

Sound Alarm

Raspberry pi 4

LCD Display

System for Processing

Circuit

Phase-II

Software Implementation

Python 3 Compiler

Open CV library

Raspberry OS

Android (Application for Management)

Phase-III

1.Full-Body Scan

The MMW camera will first scan the human in the booth the camera should support above average resolution to make it more efficient.

2.Image Processing

The System will then use the passive mmw method to detect the weapon radiation and identify the person as a criminal hiding a weapon,Once the scan is positive it will lock the entrance door keeping the criminal inside.

3.System Call

A alert and alarm will be generated to the nearest security dept for assistance and will be display the live footage of the booth to the display LCD screen for keeping eye on the criminal.

4.Safe Case

If there is no weapon the indoor entrance will unlock letting the person in the shop.

5.Secuirty Assistance

The raspberry pi will act as a portable system for generating alert for security dept,and the main system will handle image processing and door lock mechanism.

Phase-1V

Python programming

We  will be using python programong using python 3 compiler as it is more object oriented and predefined syntax.It is more easier to maintain it hence cost is reduced.

Java will be used for the android app for the management purpose on the tablet using NDK development kits.

Phase-V

Completion

Upon successfully implementing above phases and testing we will then have our final project for detecting weapons hidden underneath clothing and to prevent crimes.

Benefits of the Project

1. The feeling of safety can be created while in an airport, college, office building, or any other area where these detectors are being used. People that are using them can control who enters a specific area and what he/she brings inside it..
2. Futhermore, walk though models are more convenient and more efficient. Ultimately, using both the walk through metal detector and the hand scanner will give you the best security.
3. Being able to easily detect weapons will gradually increase security efficiency.

Technical Details of Final Deliverable

 The project is initially using some of the hardware and comunicate using Raspberry Pi 3. The embedded software in Raspberry Pi will itself fetch/recieve data from camera sensors using an Arduino. The Arduino Uno will run the image processing through realtime basis hence all this can be managed on a tablet or displayed even.The embedded software system on the Raspberry Pi has the following interfaces:

1. Camera input using a built-in library in Raspbian OS.
2. Image processing output to the raspberry pi.
3. Dynamic target  input using built-in raspberry pi libraries.

Final Deliverable of the Project Hardware SystemCore Industry SecurityOther Industries Legal Core Technology Internet of Things (IoT)Other Technologies OthersSustainable Development Goals Good Health and Well-Being for People, Peace and Justice Strong InstitutionsRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	62406
PMMW Reciever	Equipment	1	9000	9000
Circuits/sensors	Equipment	2	3200	6400
Display	Equipment	1	7000	7000
Alarm	Equipment	1	1500	1500
Overheads	Miscellaneous	2	2400	4800
PMMW Scanner	Equipment	1	20000	20000
printing	Miscellaneous	2	3	6
Raspberry pi 4	Equipment	2	5400	10800
PMMW Antenna	Equipment	1	2900	2900