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Title: :  criminal identification and identification using AI and IOT
PaperId: :  23169
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 2 2024
DUI:    16.0415/IJARIIE-23169
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Mr. A.A.Anapp.dr.v.v.patil inststute of technology and engineering polytechnic pravaranagar,loni
yash gitep.dr.v.v.patil inststute of technology and engineering polytechnic pravaranagar,loni
tushar jawalep.dr.v.v.patil inststute of technology and engineering polytechnic pravaranagar,loni
nawale omp.dr.v.v.patil inststute of technology and engineering polytechnic pravaranagar,loni
omkar shelkep.dr.v.v.patil inststute of technology and engineering polytechnic pravaranagar,loni

Abstract

COMPUTER TECHNOLOGY
:Face Recognition, Face Detection, Microsoft AZURE Cognitive Services, Face API, HAAR, Machine Learning, Cloud
A person is uniquely identifiable by their face, which is an essential component of the human body structure. As a result, it can be utilized to track down a criminal's identify. With the development of technology, several public locations now have cameras that can record illegal activity. Using the previously captured faces and criminal’s images that are available in the crime database, the criminal face recognition system can be implemented. The implementation of computer vision for the automation of the criminal detection can substantially improve the crime situation of the city. An automatic criminal identification system that enhances and upgrades the criminal identification as more effective and efficient approach through the use of CNN. The CNN model is trained on the criminal dataset and then deployed for achieving criminal detection. The Decision Tree approach is also deployed which considerably enhances the precision of the detection. Once the criminal is detected the system generates an alert to notify the law enforcement that can significantly reduce the crime levels in the locality. The proposed approach has been quantified through comparison with the conventional approaches to yield highly satisfactory outcomes.

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IJARIIE Mr. A.A.Anap, yash gite, tushar jawale, nawale om, and omkar shelke. "criminal identification and identification using AI and IOT" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 2 2024 Page 2985-2992
MLA Mr. A.A.Anap, yash gite, tushar jawale, nawale om, and omkar shelke. "criminal identification and identification using AI and IOT." International Journal Of Advance Research And Innovative Ideas In Education 10.2(2024) : 2985-2992.
APA Mr. A.A.Anap, yash gite, tushar jawale, nawale om, & omkar shelke. (2024). criminal identification and identification using AI and IOT. International Journal Of Advance Research And Innovative Ideas In Education, 10(2), 2985-2992.
Chicago Mr. A.A.Anap, yash gite, tushar jawale, nawale om, and omkar shelke. "criminal identification and identification using AI and IOT." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 2 (2024) : 2985-2992.
Oxford Mr. A.A.Anap, yash gite, tushar jawale, nawale om, and omkar shelke. 'criminal identification and identification using AI and IOT', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, 2024, p. 2985-2992. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/criminal_identification_and_identification_using_AI_and_IOT_ijariie23169.pdf (Accessed : ).
Harvard Mr. A.A.Anap, yash gite, tushar jawale, nawale om, and omkar shelke. (2024) 'criminal identification and identification using AI and IOT', International Journal Of Advance Research And Innovative Ideas In Education, 10(2), pp. 2985-2992IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/criminal_identification_and_identification_using_AI_and_IOT_ijariie23169.pdf (Accessed : )
IEEE Mr. A.A.Anap, yash gite, tushar jawale, nawale om, and omkar shelke, "criminal identification and identification using AI and IOT," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, pp. 2985-2992, Mar-App 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/criminal_identification_and_identification_using_AI_and_IOT_ijariie23169.pdf [Accessed : ].
Turabian Mr. A.A.Anap, yash gite, tushar jawale, nawale om, and omkar shelke. "criminal identification and identification using AI and IOT." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 2 ().
Vancouver Mr. A.A.Anap, yash gite, tushar jawale, nawale om, and omkar shelke. criminal identification and identification using AI and IOT. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : ]; 10(2) : 2985-2992. Available from: https://ijariie.com/AdminUploadPdf/criminal_identification_and_identification_using_AI_and_IOT_ijariie23169.pdf
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