Trace The Trail – Innovative Approach to track missing humans using Deep Learning


EOI: 10.11242/viva-tech.01.05.017

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Citation

Payal Das, Manashri Gasti, Pranav Telangade, Akshaya Prabhu, "Trace The Trail – Innovative Approach to track missing humans using Deep Learning", VIVA-IJRI Volume 1, Issue 6, Article 17, pp. 1-9, 2023. Published by Computer Engineering Department, VIVA Institute of Technology, Virar, India.

Abstract

Feature extraction procedure can be carried out and optimized by deep learning models with little to no manual work. Any data (video, pictures) can be fed into a deep learning model, which uses the architecture provided to process the data and execute data extraction to train itself and learn about the numerous data elements affecting the prediction or output. By feeding the data into the model and obtaining the output, the model can be used to forecast unknown data after successfully undergoing training. There is a phase called testing phase before implementation that aids in increasing the accuracy of the model. Missing cases have been increasing day by day and the process of investigating and finding the lost person consumes a lot of time. Single Stage Detectors speed up the process of matching the lost person’s image to their last presence (face) extracted from the CCTV footages. After skimming through the previous research, its many shortcomings were exposed. In India, still manual search and investigation is used in a lot of places. Face recognition resolves the problem of tedious search process. In this paper, a survey is done to show popular algorithms used for face recognition in real-time which obtain speedy results.

Keywords

Face Recognition, Machine Learning, Deep Learning, YOLO (You Only Look Once), Single Stage Detectors

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