• Zareen Shaikh
• Rudradeva Varma

The increasing number of missing persons cases has necessitated the development of efficient and automated identification systems. This paper presents an AI-driven Missing Persons Identification System that integrates facial recognition, real-time video processing, and MongoDB database storage to identify and flag missing individuals. The system leverages low-light image enhancement, live video feeds, and a structured database to improve accuracy and efficiency. The proposed system significantly enhances the process of identifying missing persons, reducing response time and assisting law enforcement agencies in their investigations.

Facial Recognition, Missing Persons Identification, Real-Time Detection, AI-Powered Surveillance

"MISSING PERSONS IDENTIFICATION USING AI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 2, page no.g238-g242, February-2025, Available :http://www.jetir.org/papers/JETIR2502625.pdf

"MISSING PERSONS IDENTIFICATION USING AI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 2, page no. ppg238-g242, February-2025, Available at : http://www.jetir.org/papers/JETIR2502625.pdf