International Journal For Multidisciplinary Research

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Comparison of the Crime Scene Sketching Capabilities of Smartdraw and Autocad Software

Author(s) Bhavesh Mali, Bhuwan Patidar
Country India
Abstract Crime Scene Sketching is a very important tool for forensic scientists or investigators with the future perspective. This sketching only helps in the reconstruction of the crime scene and along with that it also helps in relating the crime scene with the different types of evidences we have found from the place of crime. Crime Scene sketches are prepared manually by the investigators. Now a days we are dealing with a lots of software which can acts as a better replacement for the sketching of the crime scene and it will help us create a modified sketch of the crime scene with less mistakes and more authenticity. There are a lots of software such as AutoCAD, SmartDraw, Sketch Up, etc. which are designed for preparing the crime scene sketches. Out of all the software known till date, the AutoCAD and SmartDraw are the two most important software which have proved their own authenticity in the field of Sketching of the scene of crime. Here in this paper we have tried to differentiate among both the software for the ease of use and tried to find the best software for the sketching of the scene of crime. The differentiation among both the software was established after preparing the sketches of the scene of crime.from the software and a proper analyses and result is framed as per the work conducted on to the software. On the basis of this Resultant only a final concluding statement is framed for the research work.
Keywords AutoCAD, Crime Scene, SmartDraw, Sketching, Software
Published In Volume 5, Issue 5, September-October 2023
Published On 2023-09-24
Cite This Comparison of the Crime Scene Sketching Capabilities of Smartdraw and Autocad Software - Bhavesh Mali, Bhuwan Patidar - IJFMR Volume 5, Issue 5, September-October 2023. DOI 10.36948/ijfmr.2023.v05i05.6777
DOI https://doi.org/10.36948/ijfmr.2023.v05i05.6777
Short DOI https://doi.org/gssfkd
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