Facial Recognition System of Wanted and Suspected Individual by Police

Project summary: Distinction of an individual is his face. our project can be used to address several problems that our law enforcement agencies/police face, such as: Recognition of wanted or suspected individuals by the Police. Identification, in the retail area, of suspected individuals who co

Project Title

Facial Recognition System of Wanted and Suspected Individual by Police

Project Area of Specialization

Artificial Intelligence

Project Summary

Project summary:
Distinction of an individual is his face. our project can be used to address several problems that our law enforcement agencies/police face, such as: Recognition of wanted or suspected individuals by the Police. Identification, in the retail area, of suspected individuals who commit small crimes or even to allow or prevent the entry of people to certain area or location, this could be helpful for our law enforcement agencies/police to detect the wanted person and can take required actions against them. 
Detection of individual is very important for every police station, retail store or also use for stopping the entry of person in a town that is not considered to be safe on the grounds that there are large amounts of wrongdoing and viciousness thereIn most part of the world still conventional methodologies are used to keep an eye on a criminal but as we all know that technology changes with a blink of eye so we need to be updated with the time simply tracing criminal with their record facial features and take strict actions against before any unpleasant activity occur. In our project we are mainly focus on detection of face and recognition of face when matching with face Database. Face The database of all the criminals/individuals are stored and when it finds match it generate alerts.

Project Objectives

Project objective:
The main objective of our project is to develop a system for our law enforce agencies especially police to help them tracing criminals in certain area or locations, Framework work by looking at selected facial features from given snap with faces recorded inside a database. Perceiving the essence of a given individual here and there winds up vital to the task of a given business, and at this point it is important that such recognition must be done effectively because alerts will be generated based on the information present in the Face database.

Project Implementation Method

implementation:
Following are the tools and hardware used in this system 
Python 3.6 
Python version (3.6) used as a core programming language to build the system. 
PyCharm Ide 3.6 
PyCharm Jet beans used as integrated interpreter to support python packages and provide supported API’s 
 Open CV 
OpenCV used it is basic language, it is library utilized for Image Processing. It is predominantly used to do all the task identified with Images  
 NumPy library 
NumPy package is used to store values of same data package. 
Haar Cascades 
Haar Cascade is a main face detection algorithm that we used in our project 
Python 3.6 (venv) as project interpreter 
PyCharm manage to create virtual environment as project interpreter that support and manages the dependencies related to the project 
SQLite 
SQLite is use as a database to store snaps of individuals i.e.: Face Database 
 Hardware Requirement 
Computer/laptop 
High quality camera must be positioned to obtain the snapshots. 
Memory needed to store all the images of required person and database

Benefits of the Project

Project benefits:
The human face is one of the most straightforward trademark which can be utilized in biometric security framework to distinguish a client. Face recognition is essentially important as it doesn’t require any direct interaction with client and can be easily implemented on existing machines with a reasonable cost. 
Observation and security is another essential movement performed by law requirement offices to keep up lawfulness. Biometrics applications are progressively being utilized to preform observation. As the world progressively gets carefully and physically associated, dimension of dangers additionally increments. Quantities of digital security and psychological militant episodes have drastically expanded in the ongoing years. These dangers can start from anyplace on the planet and can influence a nation adversely.

Technical Details of Final Deliverable

Technical implementation:
Following are the tools and hardware used in this system 
Python 3.6 
Python version (3.6) used as a core programming language to build the system. 
PyCharm Ide 3.6 
PyCharm Jet beans used as integrated interpreter to support python packages and provide supported API’s 
 Open CV 
OpenCV used it is basic language, it is library utilized for Image Processing. It is predominantly used to do all the task identified with Images  
 NumPy library 
NumPy package is used to store values of same data package. 
Haar Cascades 
Haar Cascade is a main face detection algorithm that we used in our project 
Python 3.6 (venv) as project interpreter 
PyCharm manage to create virtual environment as project interpreter that support and manages the dependencies related to the project 
SQLite 
SQLite is use as a database to store snaps of individuals i.e.: Face Database 
 Hardware Requirement 
Computer/laptop 
High quality camera must be positioned to obtain the snapshots. 
Memory needed to store all the images of required person and database

Final Deliverable of the Project

Software System

Type of Industry

Education , IT

Technologies

Artificial Intelligence(AI)

Sustainable Development Goals

Sustainable Cities and Communities, Peace and Justice Strong Institutions

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com