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Deep Learning-Based Optimization Algorithm for Enterprise Personnel Identity Authentication.

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  • 1School of Management, Zhejiang University of Technology, 310014 Hangzhou, Zhejiang, China.

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This study introduces an intelligent personnel management model for enterprise strategic management, utilizing face image recognition, deep learning, and cloud computing for enhanced identity authentication and safety control.

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Area of Science:

  • Computer Science
  • Management Science

Background:

  • Enterprise strategic management is crucial for organizational survival and development in competitive environments.
  • Current enterprise strategic management systems face challenges in personnel identity authentication and safety behavior control.

Purpose of the Study:

  • To address personnel identity authentication issues within enterprise strategic management.
  • To develop a robust personnel management model integrating advanced technologies.

Main Methods:

  • Intelligent face image recognition technology to analyze biometric individual differences.
  • Deep learning and cloud computing to support identity management.
  • Construction of a personnel management model for enterprise systems.

Main Results:

  • The developed model effectively authenticates personnel identities.
  • The model enhances control over personnel safety behaviors.
  • Experimental results demonstrate simplified workflows, improved operational efficiency, and reduced management costs.

Conclusions:

  • Implementing a scientific enterprise strategic management system is vital for improving overall system management.
  • The proposed model offers a significant advancement in secure and efficient enterprise personnel management.