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Title
INTELLIGENT HOMICIDE INVESTIGATOR A UNIQUE HOMICIDE CRIME SCENE INVESTIGATION AND DATA COLLECTION TOOL USING CONVOLUTIONAL NEURAL NETWORK
Name of Researcher
NEHA VORA
Name of Guide
DIVYA SHEKHAWAT
Completed Year
2024
Faculty Name
computer science
Language
English
Abstract
The complex nature of crime scene investigations, particularly in cases involving homicides, has always presented numerous challenges to law enforcement agencies worldwide. From scattered physical evidence to the need for accurate victim identification, investigators are often faced with the monumental task of piecing together crucial details from what appears to be a chaotic scene. In such situations, forensic photography plays a vital role, allowing investigators to document the scene visually and analyze the crime from multiple perspectives. Yet, despite the importance of these photographs, human limitations frequently impede the investigation process. Even the most experienced investigators can overlook key details or struggle to process the vast number of images needed to form a coherent narrative. This is where the inspiration for this research stems from. The traditional methods of documenting and analyzing crime scenes, while essential, are time-consuming and prone to human error. Recognizing the grow
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1- Front Page.pdf
PRELIM PAGES.pdf
content.pdf
preface.pdf
6- Chapter -1 Comp..pdf
7- Chapter -2 Comp..pdf
8- Chapter -3 Comp..pdf
9- Chapter -4 Comp..pdf
13- Bibiliography Comp.pdf
FINAL THESIS NEHA VORA.pdf
12- Chapter -7 Comp..pdf
10- Chapter -5 Comp..pdf
11- Chapter -6 Comp..pdf
12- Chapter -7 Comp..pdf
6- Chapter -1 Comp..pdf
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