CRIMINAL INVESTIGATION TRACKER WITH SUSPECT PREDICTION

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CRIMINAL INVESTIGATION TRACKER WITH SUSPECT PREDICTION

ABSTRACT

We here propose a criminal investigation tracker system that tracks the investigation status of criminal cases with logs and also predicts primary suspects. The system is proposed to help agencies like the Nigerian Police Force, CBI, CID and other such bureau’s to sped up investigation process and track status of multiple cases at a time. The system keeps logs of a case which includes case summary, people involved, disputes, past criminal history of those involved, Items recovered on scene and other details. The system realizes the type of case, allows admin to update the status of investigation, upload more images of crime, items found on scene etc. This allows authorized officers to check case status and look into its status online and also update any important info as and when needed. The system also consists of a suspect prediction algorithm. Based on type of case, property, land, love or other entities involved the system studies past cases, it studies past criminal records of those involved and based on this data it provides suggestions of suspected persons in a logical order. The system is designed to aid investigation teams to work collectively on cases, coordinate and also speed up the process by suggesting logical suspects based on data provided.

 

CRIMINAL INVESTIGATION TRACKER WITH SUSPECT PREDICTION

  

CHAPTER ONE

INTRODUCTION

1.1     BACKGROUND OF THE STUDY

Crime is the most vital aspect of every society all over the globe irrespective of the location. Generally tracking is the observing of persons or objects on the move and supplying a timely ordered sequence of respective location data to a model e.g. capable to serve for depicting the motion on a display capability.

Crime tracking system allows police personnel to plan effectively for emergency response, determine mitigation priorities, analyses historical events, and predict future events. Crime tracking system helps identify potential suspects to increase investigators suspect base when no leads are evident. The ability to access and process information quickly while displaying it in a spatial and visual medium allows agencies to allocate resources quickly and critical‘ affection law enforcement, information about the location of a crime, incident, suspect, or victim is often crucial to determine the manner and size of the response. Crime tracking software helps co-ordinate vast amounts of location-based data from multiple sources. It enables the user to layer the data and view the data most critical to the particular issue or mission.

It is used world over by police departments, both large and small, to provide solutions for crime analysis, criminal tracking, traffic safety, community policing, Intranet/Internet mapping, and numerous other tasks. Crime tracking system helps crime officers determine potential crime sites by examining complex seemingly unrelated criteria and displaying them all in an interface. It also helps them map inmate populations, fixtures, and equipment to provide for the safety of inmates by separating gang members, identifying high-risk or potentially violent inmates, and identifying hazardous locations in an area. It reduces the potential for internal violence by providing better command and control. Traditionally, these activities have been supported by paper and pen. Police officers now have the ability to immediately generate crime report directly relevant to the situation at hand. Police agencies collect vast amounts of data from many sources including called-for-services, arrests, first information reports and daily report. The same information provides a powerful decision making tool for investigators, supervisors, and administrators.

1.2     STATEMENT OF THE PROBLEM

Given the failed security system in most developing countries, the new wave of criminal activities has so far eluded the intelligence of responsible agencies given its unusual nature. Hence, the need for the adoption of new technologies in tackling crime has become imperative. Hence, this study intends to develop a Criminal Investigation Tracker with Suspect Prediction.

1.3       PURPOSE OF THE STUDY

The purpose of this project is to design and implement a criminal Investigation Tracker with Suspect Prediction . This will aid the police in crime tracking and control.  The propose system would ensure a better case flow and efficient data management that would inform better crime investigation and management decisions.

  • SIGNIFICANT OF THE STUDY

The propose system if properly implemented will help Improve operational efficiency through the use of a standardized system, searchable digital repository of relevant documents, automated workload distributed and virtual boarding of cases with a criminal Tracking System.

With the tracking  System, security officers would spend less time searching for past criminal records and  information of potential suspects in a manner that is most beneficial to them.

1.5 SCOPE OF THE PROJECT

Because of lack of time, funding and the scope of the system, the project was limited to the development and implementation of software base criminal tracking information system that will automate the processes involved in tracking down criminals by security officers.

1.6  PROJECT REPORT ORGANIZATION

The project is organized as follows;-

Chapter one introduces the project; the background of the project is also discussed. The objectives of the project, its significance, scope, and constraints are pointed out.

A brief history of the Nigerian police and review of literature on Criminal Tracking System are subject matter of Chapter two.

Chapter three discusses system Analysis and design. It deals with detailed investigation and analysis of the existing system and problem identification.

Chapter four covers the system implementation, testing and integration Chapter five was the summary of findings, limitations of the project, recommendations and evaluation conclusion, references.

Criminal Investigation Tracker with Suspect Prediction

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