Smart Surveillance and Crime Control Using an AI-Based Model

Authors

  • Muhammad Zulqarnain Siddiqui Department of Computer Science, Iqra University, Karachi, Pakistan.
  • Kamran Khan Department of Computer Science, Iqra University, Karachi, Pakistan.
  • Abdul Jameel Khan Department of Computer Science, Iqra University, Karachi, Pakistan.

Keywords:

Face detection, Face recognition, Open-CV, Image Processing

Abstract

The human face serves as a crucial characteristic for individual identification, as each person possesses a distinct facial appearance, even among twins. In this study, we have devised a criminal identification system tailored for law enforcement agencies, employing face detection and recognition technology. The implemented system adeptly discerns the countenance of a criminal, subsequently retrieving pertinent information from a comprehensive database. Subsequently, a notification containing detailed information, including the identified criminal's profile and the specific surveillance location, is promptly dispatched to the law enforcement officer.

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Published

2023-12-05

How to Cite

Muhammad Zulqarnain Siddiqui, Kamran Khan, & Abdul Jameel Khan. (2023). Smart Surveillance and Crime Control Using an AI-Based Model. Journal of Computing & Biomedical Informatics, 6(01), 216–221. Retrieved from https://jcbi.org/index.php/Main/article/view/294

Issue

Vol. 6 No. 01 (2023): Journal of Computing & Biomedical Informatics

Section

Articles

License

This is an open Access Article published by Research Center of Computing & Biomedical Informatics (RCBI), Lahore, Pakistan under CCBY 4.0 International License