Finding a Missing Person Using Al

Every day, thousands of people go missing around the world—children, elderly individuals with Alzheimer’s, and others caught in unfortunate circumstances. For police and local authorities, finding these people is a huge challenge, often complicated by the lack of effective tracking tools. To address this issue, we’ve developed an advanced facial recognition system designed to make searching for and identifying missing persons faster and easier. A photo of a missing individual may be uploaded to a safe, centralized database by a family or law enforcement. In case someone in the community finds a person, he thinks could be missing, he will simply take a picture and upload it to an authorized portal. The system, by the CNN-based facial recognition model, analyzes the picture, compares it with the database, and shows possible matches. It then delivers a detailed report to support law enforcement in taking their next course of action. This system connects the public to the authorities, offering a faster and more reliable means of locating lost individuals and returning them safely.

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Publication Details

Journal
International Research Journal on Advanced Engineering Hub (IRJAEH)
Published
2025-01-09
DOI
https://doi.org/10.47392/irjaeh.2025.0004
Citations
1
Primary Topic
Video Surveillance and Tracking Methods
Type
article
Field-Weighted Citation Impact
1.28
Controls
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article

Finding a Missing Person Using Al

Ramavath Ganesh, Chilukuri Srija, Bhuriwale Devesh, Mrs.Harika koormala
1 citations
International Research Journal on Advanced Engineering Hub (IRJAEH)
Video Surveillance and Tracking Methods
1.28
article

Finding a Missing Person Using Al

Ramavath Ganesh, Chilukuri Srija, Bhuriwale Devesh, Mrs.Harika koormala
article en
1 citations

Abstract

Every day, thousands of people go missing around the world—children, elderly individuals with Alzheimer’s, and others caught in unfortunate circumstances. For police and local authorities, finding these people is a huge challenge, often complicated by the lack of effective tracking tools. To address this issue, we’ve developed an advanced facial recognition system designed to make searching for and identifying missing persons faster and easier. A photo of a missing individual may be uploaded to a safe, centralized database by a family or law enforcement. In case someone in the community finds a person, he thinks could be missing, he will simply take a picture and upload it to an authorized portal. The system, by the CNN-based facial recognition model, analyzes the picture, compares it with the database, and shows possible matches. It then delivers a detailed report to support law enforcement in taking their next course of action. This system connects the public to the authorities, offering a faster and more reliable means of locating lost individuals and returning them safely.

International Research Journal on Advanced Engineering Hub (IRJAEH)Vol. 3(01)
Methodist University (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 24%
Video Surveillance and Tracking Methods
1.28
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