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Title: :  Criminal detection using face identification
PaperId: :  24033
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 3 2024
DUI:    16.0415/IJARIIE-24033
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Harshitha MVidya vikas institute of engineering and technology,Mysuru
Lakshmi K GVidya vikas institute of engineering and technology,Mysuru
Nanditha RVidya vikas institute of engineering and technology,Mysuru
Renuka PatilVidya vikas institute of engineering and technology,Mysuru
Sevanth AVidya vikas institute of engineering and technology,Mysuru

Abstract

Computer engineering
IOT, Raspberry Pi, Python, Open CV, Surveillance Camera, Haar Cascade, Face Recognition, Image Masking.
Face recognition is a combination of machine literacy algorithms and thus holds the rates of not only extreme perfection but also trustability. For automatic discovery of the face from the databases this fashion is extremely helpful. In recent times Open CV (Open Source Computer Vision Library) has been extensively employed in different sectors of operations like a surveillance camera, robotics, image pre-processing, identification, etc. This technology is employed for the prisoner, pre-processing, authentication, validation, authorization, and identification. In advanced countries, the government creates a dataset of citizens which is also used to compare suspected faces with trained data stored in a database. Face identification is defined in three ways- face discovery, point birth, and face recognition after comparing the features. Camera configuration is extremely important to trace moving persons and fête them precisely. Facial points render pivotal information about face shape. The precise position of features and facial points tracing are important. Each point is generally detected and traced by performing an area look for the advanced matching position. There are veritably many inquiries on face recognition using edge-grounded facial features discovery. The sides not only carry precious data about the face but also are simple to reuse and hence calculation power and the time needed is drastically reduced. The Viola-Jones system provides a classifier by opting for a couple of significant features using Ada Boost. Viola Jones system successfully combines further compound classifiers in the Hear waterfall structure which exponentially increases the speed of the sensor in the favorable features of the face. Software out there that acts analogous services related to the face recognition system does live, still, this system also has its graces and distinctions which can contribute to the society.

Citations

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IJARIIE Harshitha M, Lakshmi K G, Nanditha R, Renuka Patil, and Sevanth A. "Criminal detection using face identification" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 3 2024 Page 2332-2336
MLA Harshitha M, Lakshmi K G, Nanditha R, Renuka Patil, and Sevanth A. "Criminal detection using face identification." International Journal Of Advance Research And Innovative Ideas In Education 10.3(2024) : 2332-2336.
APA Harshitha M, Lakshmi K G, Nanditha R, Renuka Patil, & Sevanth A. (2024). Criminal detection using face identification. International Journal Of Advance Research And Innovative Ideas In Education, 10(3), 2332-2336.
Chicago Harshitha M, Lakshmi K G, Nanditha R, Renuka Patil, and Sevanth A. "Criminal detection using face identification." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 3 (2024) : 2332-2336.
Oxford Harshitha M, Lakshmi K G, Nanditha R, Renuka Patil, and Sevanth A. 'Criminal detection using face identification', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 3, 2024, p. 2332-2336. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Criminal_detection_using_face_identification_ijariie24033.pdf (Accessed : ).
Harvard Harshitha M, Lakshmi K G, Nanditha R, Renuka Patil, and Sevanth A. (2024) 'Criminal detection using face identification', International Journal Of Advance Research And Innovative Ideas In Education, 10(3), pp. 2332-2336IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Criminal_detection_using_face_identification_ijariie24033.pdf (Accessed : )
IEEE Harshitha M, Lakshmi K G, Nanditha R, Renuka Patil, and Sevanth A, "Criminal detection using face identification," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 3, pp. 2332-2336, May-Jun 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/Criminal_detection_using_face_identification_ijariie24033.pdf [Accessed : ].
Turabian Harshitha M, Lakshmi K G, Nanditha R, Renuka Patil, and Sevanth A. "Criminal detection using face identification." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 3 ().
Vancouver Harshitha M, Lakshmi K G, Nanditha R, Renuka Patil, and Sevanth A. Criminal detection using face identification. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : ]; 10(3) : 2332-2336. Available from: https://ijariie.com/AdminUploadPdf/Criminal_detection_using_face_identification_ijariie24033.pdf
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