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An Automated System for Crime Investigation Using Conventional and Machine Learning Approach

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Innovative Data Communication Technologies and Application (ICIDCA 2019)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 46))

Abstract

Crime causes significant damage to the society and property. Different kinds of physical or direct methods are devised by the law and order department to spot out the criminals involved in the crime. This techniques will explore the evidences at crime site. For instance if it finds a fingerprint then the system will capture and send it to forensic department for fingerprint matching, which can be later used for identifying the suspects or criminals by investigations etc. Yet, it is a huge challenge for them to find the criminal due to less or no evidence and incorrect information, which can change the direction of investigation to the end. This paper proposes a data analysis approach to help the police department by giving them first-hand information about the suspects. It automates the manual process for finding criminal and future crime spot by using various techniques such as pattern matching, biometric and crime analytics. Based on the availability of information, the system is able to produce the expected accuracy.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, SSN College of Engineering, Chennai, India

    V. S. Felix Enigo

Authors
  1. V. S. Felix Enigo
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Corresponding author

Correspondence to V. S. Felix Enigo .

Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, Gnanamani College of Technology, Namakkal, India

    Jennifer S. Raj

  2. College of Computer Engineering and Sciences, Prince Mohammad Bin Fahd University, Al-Khobar, Saudi Arabia

    Abul Bashar

  3. Purdue Polytechnic Institute, Purdue University, West Lafayette, IN, USA

    S. R. Jino Ramson

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Felix Enigo, V.S. (2020). An Automated System for Crime Investigation Using Conventional and Machine Learning Approach. In: Raj, J., Bashar, A., Ramson, S. (eds) Innovative Data Communication Technologies and Application. ICIDCA 2019. Lecture Notes on Data Engineering and Communications Technologies, vol 46. Springer, Cham. https://doi.org/10.1007/978-3-030-38040-3_12

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