Finding a Missing Person Using Al
DOI:
https://doi.org/10.47392/IRJAEH.2025.0004Keywords:
Alzheimer’s disease, Centralized Database, Convolutional Neural Network, Facial recognition system, Image analysisAbstract
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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