Smart Surveillance and Crime Control Using an AI-Based Model

Clicks: 3
ID: 313134
2023
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #661 of 705 articles by views in Journal of Computing & Biomedical Informatics

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 705 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
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.
Reference Key
imported_1777059331_69ebc603a8a09 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Abdul Jameel Khan
Journal Journal of Computing & Biomedical Informatics
Year 2023
DOI
DOI not found
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.