Automatic Detection of Crimes Captured in CCTV Images for Safety of Senior Citizens

Authors

  • Baswaraju Swathi  Assistant Professor, Department of Information Science and Engineering, New Horizon College of Engineering, Bengaluru, Karnataka, India
  • Anitha B  Information Science and Engineering, New Horizon college of Engineering, Bengaluru, Karnataka, India
  • Disha Singh  Information Science and Engineering, New Horizon college of Engineering, Bengaluru, Karnataka, India
  • Divya Shree M  Information Science and Engineering, New Horizon college of Engineering, Bengaluru, Karnataka, India
  • Kushala R  Information Science and Engineering, New Horizon college of Engineering, Bengaluru, Karnataka, India

DOI:

https://doi.org/10.32628/CSEIT217476

Keywords:

Face Detection, Weapon Detection, E-Mail, Viola Jones Algorithm

Abstract

Closed circuit television systems (CCTV) are getting widely popular and are being deployed in many workspaces, housing estates and in most public spaces. Efficiency of CCTV surveillance can be improved by incorporation of image processing and object detection algorithm into monitoring process. In this project, we specialize in the task of automated detection and recognition of dangerous incidents for CCTV systems. We propose solutions that are able to alert the human operator when a weapon is visible in the image through e-mail. We have shown that it's possible to make a system that's capable of an early warning during a dangerous situation, which can cause faster and more effective response times and reduce in the number of potential victims. Face Detection and Face recognition of individuals is an intricate problem which has garnered much attention during recent years because of its ever-increasing applications in numerous fields. In this project the facial detection has been carried out using Viola Jones algorithm.

References

  1. Baswaraju Swathi, Somesh Balani, Niza Barun Shrestha, “Survey on Home Security Surveillance System Based on Wifi Connectivity Using Raspberry Pi and Iot Module”.
  2. Automated Detection of Firearms and Knives in a CCTV Image https://www.mdpi.com/1424- 8220/16/1/47/pdf
  3. Janarthany Nagendrajah, “Recognition of Expression Variant Faces- A Principle Component Analysis Based Approach for Access Control” IEEE International Conference On Information Theory and Information Security, pp 125-129,2010.
  4. Maria De Marsico, Michele Nappi, Daniel Riccio and Harry Wechsler, “ Robust Face Recognition for Uncontrolled Pose and Illumination Changes” IEEE Transaction on Systems, Man and Cybernetics, vol.43,No.1,Jan 2013.
  5. Breaking Down Facial Recognition: The Viola-Jones Algorithm https://towardsdatascience.com/the- intuition-behind-facial-detection-the-viola- jones-algorithm-29d9106b6999.
  6. Face recognition with OpenCV python https://harshilp.medium.com/face-recognition- with-opencv-python-d7cca5a6d860
  7. https://analyticsindiamag.com/face-emotion- recognizer-in-6-lines-of-code/
  8. Gun Detection using Python-OpenCV https://www.geeksforgeeks.org/gun-detection-using- python-opencv/
  9. Send Data Alert with Python SMTP https://towardsdatascience.com/send-data-alert- with-python-smtp- efb9ee08077e#:~:text=Simple%20Mail%20Transf er%20Protoc,such%20as%20Outlook%20and%20 Gmail.

IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2021-08-30

Issue

Volume 7, Issue 4, July-August-2021

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Baswaraju Swathi, Anitha B, Disha Singh, Divya Shree M, Kushala R, " Automatic Detection of Crimes Captured in CCTV Images for Safety of Senior Citizens" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 7, Issue 4, pp.291-296, July-August-2021. Available at doi : https://doi.org/10.32628/CSEIT217476