TraceFusion: Precision AI for Missing and Wanted Person Detection
Abstract
With the advent of advanced technologies, which has paved the way for critical social challenges. One such social challenge is the identification of missing and wanted individuals in day-to-day basis. Manual identification is time consuming and less efficient to tackle this challenge.TraceFusion leverages Machine Learning(ML) to enhance efficiency in identification. The system features a Web based application that allows its users to register missing persons with image uploads, facilitating real time searches.The MTCNN model and the InceptionResNetV1 model process live camera feeds as well as recorded videos to match faces against a database of missing and wanted persons, which, upon detection, can assist the authorities in response actions. A flask based server performs real-time face recognition, while Firestore is used to store and retrieve images for matching. Using TraceFusion, public safety can be enhanced and investigations be fastened up.
Keywords:
Face Recognition, Missing Person Detection, Wanted Person Identification, Artificial Intelligence, MTCNN, Machine Learning, InceptionResNetV1, Firestore, Flask
Published
Issue
Section
License
Copyright (c) 2025 International Journal on Emerging Research Areas
This work is licensed under a Creative Commons Attribution 4.0 International License.
All published work in this journal is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
How to Cite
Similar Articles
- Athira Sankar, Sajishma S R, Alan Raj, Vaishnavi A K, Reshmi S Kaimal, Hydro Sense: Empowering Water Quality Monitoring Through IoT And ML , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Dr.Amal M R, Allen Joseph, Jishnu suresh, Abhijith selvam, Aravind A S, AI Based Multi Robot Fire Suppression System , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Dr Anil A R, Amit Sankar Arun, Anandhu Anilkumar, Anandu S Sivan, Anoop Manoharan, DESIGNING OF A VOICE – BASED PROGRAMMING IDE FOR SOURCE CODE GENERATION , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Muneebah Mohyiddeen, Amal E A, Maxen Varghese, Mohammed Rasnal K A, Rohith Sekhar N, SARA: A College Receptionist System , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- P S Aswin, Archana Madhusudhanan , Athulya Sajeev, Neeha Moideen , C R Suhail, Revolutionizing Football Management: A Data-Driven Approach with Random Forest Regressor , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Lida K Kuriakose, Overview of Lip Reading Methods: Issues, Current Developments, and Future Prospects , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Juby Mathew, Maria Jojo, Neha Ann Samson, Noell Biju Michael, Ron T Alumkal, PulseSync: IoT-Enabled Monitoring and Predictive Analytics for Healthcare , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Jose P Pittappillil, Midhun Mohan, Nimisha Nigel, Nitin Sunil Thomas, Driving Agricultural Innovation: A Review of Technological Advancements in Smart Farming , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- K A Arun, Christine Maria Jose , Ann Mathew, Elizabeth Jullu, Lida K Kuriakose, Location-Based Alarm Systems and Service Recommendations for Enhanced Travel Management , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Aadhi Lakshmi M R, Adithyan Suresh Kumar, Dan Mody Mathew, Evana Ann Benny, Resmipriya M G, HarvestHub: Enhancing Bidding Systems for Small-Scale Farmers , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
You may also start an advanced similarity search for this article.