Crime Intelligent Security Control Robot Investigation System

Authors

  • Chandran M MCA, M.phil., PhD Sri Ramakrishna Mission Vidyalaya CAS, Coimbatore-20, India
  • Vinothramkumar B MCA-Final year Sri Ramakrishna Mission Vidyalaya CAS, Coimbatore-20, India

DOI:

https://doi.org/10.26438/ijcse/v6si8.114124

Keywords:

We also implemented a Pass Matrix prototype on Android and carried out real user we identify the criminals within short period using finger print scanner, If we found new finger print, we will add the finger print register immediately as well as matching finger print to some criminal, This method is used to identify the vehicles easily

Abstract

This researching Fingerprint based identification is one of the most mature & proven technique compared to the biometric technique. Fingerprints are classified as rolled, plain & latent fingerprints. However, even today, a fully automated latent fingerprint matching system has not been developed. However, even today, a fully automated latent fingerprint matching system has not been developed. Matching latent fingerprints over rolled or plain fingerprints is difficult task. The reason behind this is nothing but presence of noise and non-linear distortion in latent prints. Matching latent fingerprints over rolled or plain fingerprints is difficult task. An CIESs should be designed as a criminal investigation decision support system (CIDSS), a reasoning process based on production rules. we using image processing tool box for identify the criminals finger print ,If one decides to use only one year of crime data for detailed analysis then an analyst must spend 1.5 million minutes. As Per Regional Crime Analysis Program (RECAP), If one decides to use crime data for detailed analysis then an analyst

References

[1] Artificial Intelligence and Expert System, Bejing: National Defence Science and Technology Press. 2015, pp..210-218.

[2] Analysis of the Causes and effects of Crimes, Collection of Researches on Criminal investigation, Bejing: Mass press, 2017, pp.54-58.

[3] "Automatic, Rapid Generation of Design Prototypes from Logic Specifications," r national Journal of Software Engineering and Knowledge Engineering, Vol. 1, No. 4, 2013, pp.331-350.

[4] On the Construction of Quantitative Criminology, Journal of Police Academy. 2012, pp.1-5.

[5] Dill D.L., Mercuri R., Neumann P.G., and Wallach D.S., “Frequently Asked Questions about DRE Artificial Intelligence”, Feb.2012.

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Published

2025-11-17
CITATION
DOI: 10.26438/ijcse/v6si8.114124
Published: 2025-11-17

How to Cite

[1]
M. Chandran and B. Vinothramkumar, “Crime Intelligent Security Control Robot Investigation System”, Int. J. Comp. Sci. Eng., vol. 6, no. 8, pp. 114–124, Nov. 2025.

Issue

Vol. 6 No. 8 (2018): IJCSE Special Issue October Edition

Section

Research Article

License

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