Summary of Toward Digitalization: a Secure Approach to Find a Missing Person Using Facial Recognition Technology, by Abid Faisal Ayon et al.
Toward Digitalization: A Secure Approach to Find a Missing Person Using Facial Recognition Technology
by Abid Faisal Ayon, S M Maksudul Alam
First submitted to arxiv on: 26 May 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Computers and Society (cs.CY); Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed facial recognition-based system effectively solves the real-world problem of finding a missing person while ensuring security and feasibility. By leveraging machine learning technology, this unique approach prioritizes both finder and family member concerns. The system’s performance is demonstrated in the result section, showcasing its capabilities in finding a missing individual on a digital platform. Compared to existing systems, our solution provides significant advantages. This work addresses the challenge of impeding intruders from participating in the process while ensuring a secure and effective solution. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary A new way to find missing people has been developed using facial recognition technology. The goal is to make this process more secure and efficient. Some other attempts have been made, but this one is special because it prioritizes both the person looking for the missing person (the finder) and the family of the missing person. This system was tested and shown to be effective in finding a missing person online. It’s better than some other methods too. |
Keywords
» Artificial intelligence » Machine learning
