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Title: :  Tracing the Missing person using Artificial Intelligence
PaperId: :  19590
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 2 2023
DUI:    16.0415/IJARIIE-19590
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Sravani VuppalaAnil Neerukonda Institute of Technology and Sciences
Venkat Gowri Haresh BhogiAnil Neerukonda Institute of Technology and Sciences
Pavan Kumar VallapuneniAnil Neerukonda Institute of Technology and Sciences
Nitish DattiAnil Neerukonda Institute of Technology and Sciences

Abstract

Information Technology
CNN, KNN, Missing Person, Face Recognition
Uncountable numbers of reported missing children in India occur each year. A significant portion of missing children have not been found. In this work, face recognition is used in a novel way to identify the reported missing child from the large number of child photographs that are accessible. The general public is able to post images of children that appear suspicious along with descriptions of nearby landmarks. The image will automatically be compared to the recorded images contained in the database are those of the lost child. The missing child database photo that most closely resembles the input child image is selected after categorizing the input child image. Using a facial image supplied by the public, a deep learning model is trained to accurately identify the missing child from the missing child image database. Face recognition is done using Convolutional Neural Networks (CNN), a relatively efficient deep learning technique for image-based applications. Using the VGG-Face deep architecture pre-trained CNN model, face descriptors are derived from the images. Our technique uses convolution networks only as high-level feature extractors, as opposed to typical deep learning applications, and the trained KNN classifier performs the child recognition. By selecting and appropriately training the top CNN model for face recognition, VGG-Face, A deep learning model that is resistant to noise, lighting, contrast, occlusion, image pose, and child age is what we are able to achieve. This model outperforms earlier approaches in the identification of missing children based on face recognition

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IJARIIE Sravani Vuppala, Venkat Gowri Haresh Bhogi, Pavan Kumar Vallapuneni, and Nitish Datti. "Tracing the Missing person using Artificial Intelligence" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 2 2023 Page 1366-1369
MLA Sravani Vuppala, Venkat Gowri Haresh Bhogi, Pavan Kumar Vallapuneni, and Nitish Datti. "Tracing the Missing person using Artificial Intelligence." International Journal Of Advance Research And Innovative Ideas In Education 9.2(2023) : 1366-1369.
APA Sravani Vuppala, Venkat Gowri Haresh Bhogi, Pavan Kumar Vallapuneni, & Nitish Datti. (2023). Tracing the Missing person using Artificial Intelligence. International Journal Of Advance Research And Innovative Ideas In Education, 9(2), 1366-1369.
Chicago Sravani Vuppala, Venkat Gowri Haresh Bhogi, Pavan Kumar Vallapuneni, and Nitish Datti. "Tracing the Missing person using Artificial Intelligence." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 2 (2023) : 1366-1369.
Oxford Sravani Vuppala, Venkat Gowri Haresh Bhogi, Pavan Kumar Vallapuneni, and Nitish Datti. 'Tracing the Missing person using Artificial Intelligence', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 2, 2023, p. 1366-1369. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Tracing_the_Missing_person_using_Artificial_Intelligence_ijariie19590.pdf (Accessed : ).
Harvard Sravani Vuppala, Venkat Gowri Haresh Bhogi, Pavan Kumar Vallapuneni, and Nitish Datti. (2023) 'Tracing the Missing person using Artificial Intelligence', International Journal Of Advance Research And Innovative Ideas In Education, 9(2), pp. 1366-1369IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Tracing_the_Missing_person_using_Artificial_Intelligence_ijariie19590.pdf (Accessed : )
IEEE Sravani Vuppala, Venkat Gowri Haresh Bhogi, Pavan Kumar Vallapuneni, and Nitish Datti, "Tracing the Missing person using Artificial Intelligence," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 2, pp. 1366-1369, Mar-App 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/Tracing_the_Missing_person_using_Artificial_Intelligence_ijariie19590.pdf [Accessed : ].
Turabian Sravani Vuppala, Venkat Gowri Haresh Bhogi, Pavan Kumar Vallapuneni, and Nitish Datti. "Tracing the Missing person using Artificial Intelligence." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 2 ().
Vancouver Sravani Vuppala, Venkat Gowri Haresh Bhogi, Pavan Kumar Vallapuneni, and Nitish Datti. Tracing the Missing person using Artificial Intelligence. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : ]; 9(2) : 1366-1369. Available from: https://ijariie.com/AdminUploadPdf/Tracing_the_Missing_person_using_Artificial_Intelligence_ijariie19590.pdf
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