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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Enhanced Child Safety: A Smart Surveillance System With Multiphase Face Extraction For Missing Child Detection |
| Authors Name: | Sabarisuganya G , Asny Rajelin D , Atchaya B , Deepasree M |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_219598
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| Published Paper Id: | IJNRD2404703 |
| Published In: | Volume 9 Issue 4, April-2024 |
| DOI: | |
| Abstract: | Identification of the missing child in this wide world is a difficult thing. Usually police and CBI make a notice of the child people face to catch them if they spot in public places if they missed or kidnapped. But remembering their faces by the public people will be problematic one since they will be having memory problems. And catching the child in a common public place by the public people may cause problem to them. So they will not make a notice to the police if they see the child person also and the police seem it as a tragedy to catch the child in common public places. In our proposed scheme an automated identification of the child with face matching detection using video surveillance is done. Here Artificial Intelligence domain plays the major role where the CCTV itself identifies the child person and intimate them to the police with the face captured image. The process of identification will be extracted with Gaussian Feature Point Extraction where the face features of the child are extracted and trained. With the trained feature pattern Recurrent Neural Network (RNN) classification classifies out the child face among multiple face extracted patterns. Detection gives an E-mail alert with the photo system to the police.Thus the given system makes an automated identification of the child among public place. This system will be able to detect face and recognize face automatically. This will help the law enforcements to detect or recognize suspect of the case on the scene. The results show that about 98% of Childs can be detected with a good accuracy compared with the other processing solutions. |
| Keywords: | Artificial Intelligence (AI), Recurrent Neural Network (RNN), Multitask Cascaded Convolution Neural Network (MCCNN). |
| Cite Article: | "Enhanced Child Safety: A Smart Surveillance System With Multiphase Face Extraction For Missing Child Detection", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.h24-h29, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404703.pdf |
| Downloads: | 00025 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2404703 Registration ID: 219598 Published In: Volume 9 Issue 4, April-2024 DOI (Digital Object Identifier): Page No: h24-h29 Country: Kanyakumari District, Tamil Nadu, India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2404703 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2404703 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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