Real-Time Multiple Face Recognition Using Fine-Grained and Coarse-Grained Parallelism

DOI

10.2991/978-94-6463-948-3_72How to use a DOI?

Keywords

Multiple Face Recognition; Deep Learning; Parallel Processing; Fine-Grained Parallelism; Coarse-Grained Parallelism; Hybrid Parallelism

Abstract

In recent years, face recognition has been a prominent research topic with various real time applications in several areas such as biometric authentication, surveillance systems, autonomous vehicles, smartphone cameras, etc. Face recognition is a method for identifying faces with any position or orientation from a photo or video with various environmental conditions. Deep Learning (DL) algorithms play a vital role in multiple face recognition systems that have been increased significantly using different models. The major challenge for face recognition is to build a system that improves accuracy in different scenarios. Today, multiple face recognition algorithms have reached a high level of accuracy, but under conditions, these algorithms are still affected by numerous internal and external parameters. GPUs have been used for implementation of parallel deep learning algorithms for higher performance and accuracy. In this research paper we propose a multiple face recognition system for large data sets using Fine-Grained Parallelism along with analysis and comparison with Coarse-Grained using Deep Learning. Our proposed model experimental results proved that the fine-grained parallelism and hybrid approaches are performing far better than coarse grained parallelism. These methods are well-suited for next-generation high-performance computing, real-time systems, and large-scale AI training.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Vijaykumar P. Mantri
AU  - Sandip Thite
PY  - 2026
DA  - 2026/01/06
TI  - Real-Time Multiple Face Recognition Using Fine-Grained and Coarse-Grained Parallelism
BT  - Proceedings of the International Conference on Sustainable Innovation with Artificial Intelligence and Machine Learning 2025 (ICSIAIML 2025)
PB  - Atlantis Press
SP  - 1054
EP  - 1070
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-948-3_72
DO  - 10.2991/978-94-6463-948-3_72
ID  - Mantri2026
ER  -