Work

AI Face Recognition and Processing Technology Based on GPU Computing

Year: 2024

Type: article

Abstract: In recent years, with the development of deep neural network technology, real-time object detection has become increasingly common in mobile applications. However, practical application requirements drive the algorithm to optimize in terms of speed, energy consumption and accuracy. This paper introduces the application of artificial intelligence in the field of face recognition, especially using TensorRT accelerated reasoning technology to improve the speed and performance of face recognition. At the same time, the paper also discusses the key role of GPU computing in face recognition, and expounds the importance of AI chips for optimizing inference tasks. Through the analysis of experimental results and methods, the performance advantages and application prospects of BlazeFace algorithm in mobile applications are demonstrated, which provides a valuable reference for industry.

Source: Journal of Theory and Practice of Engineering Science

DOI: 10.53469/jtpes.2024.04(05).02

Authors: Huixiang Li, Ang Li, Yuning Liu, Yiyu Lin, Yadong Shi

Institutions: Trine University, University College Dublin, Seattle University, Santa Clara University, Fudan University

Language: English

Topic: Face recognition and analysis

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W4399539769

FWCI: 2.005

Cites: 24

Cited by: 19

Related to: 10