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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: | Finding Missing Persons Using AI |
| Authors Name: | Akassh M , Abinesh S , Abishek D |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_195248
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| Published Paper Id: | IJNRD2305362 |
| Published In: | Volume 8 Issue 5, May-2023 |
| DOI: | |
| Abstract: | This project proposes the development of a system to find missing persons using the Haar Cascade algorithm. The Haar Cascade algorithm is a machine learning-based approach used for object detection in images or videos. By training the algorithm to detect the missing person's face, the proposed system aims to analyse new images or videos to determine if the missing person is present, which can help in locating them. The proposed system will use images and videos of the missing person from various sources, such as social media, security cameras, and friends and family members. These images and videos will be used to train the Haar Cascade algorithm to recognize the missing person's face. Once the algorithm has been trained, it can be used to analyse new images or videos to determine if the missing person is present. The system will be designed to be user-friendly and accessible to everyone. It will be developed as a web-based application that can be accessed through a browser. The user will be able to upload images or videos of the missing person, and the system will analyse the input to determine if the missing person is present. If the missing person is detected, the system will alert the user or relevant authorities. The proposed system has the potential to complement existing methods for finding missing persons and provide a more efficient and effective way to locate missing persons. By developing a user-friendly and accessible system, the project hopes to make a meaningful impact in the lives of families and communities affected by missing persons cases. |
| Keywords: | Missing persons, Haar Cascade algorithm, Facial features, Real-time, Public spaces, Video feeds, Database |
| Cite Article: | "Finding Missing Persons Using AI", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.d494-d498, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305362.pdf |
| Downloads: | 000118747 |
| 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:IJNRD2305362 Registration ID: 195248 Published In: Volume 8 Issue 5, May-2023 DOI (Digital Object Identifier): Page No: d494-d498 Country: Avadi,Chennai, Tamilnadu, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2305362 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2305362 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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