Construction of Computer Vision Security Model Based on Machine Learning and Artificial Intelligence Networks

Authors

  • Nan Si School of Marxism, Xinyang Vocational and Technical College, Xinyang 464000, Henan, China
  • Lingli Tan School of Computer Science, Wuhan DonghuUniversity,Wuhan 430212,Hubei, China
  • Lu Yin Institute for Research on Portuguese-speaking countries, City University of Macao, Macao 999078, China
  • Zituo Liu School of Resources and Safety Engineering, Central South University, Changsha 410012, Hunan, China

Abstract

Computer vision is being widely used today, but due to the inadequacies of computer vision systems, security issues have become a serious challenge. In this current study, a computer vision security model based on machine learning and artificial intelligence (AI) networks was constructed to improve the security and robustness of existing computer vision models, and provide effective solutions for computer vision problems in practical application scenarios. Moreover, the technology application of machine learning and AI network in the construction of computer vision security model was analysed to build a computer vision security model with four parts: data acquisition, data pre-processing, network construction and model training. Three real-life cases were selected for experimental analysis to verify the advantages of the proposed model. The accuracy, precision and recall of
100 facial samples using a computer vision security model constructed using machine learning and AI network technology were compared with those using traditional computer vision security models. According to the results, the accuracy, precision and recall of the proposed computer vision security model improved by 18%, 16% and about 18.2%, respectively. These findings indicate that the computer vision security model based on machine learning and AI networks constructed in this paper offers significant advantages in terms of object detection and good performance. The proposed model is of great relevance for the current security issues facing computer vision systems, providing new ideas and methods for research and practice in computer vision security.

Keywords: machine learning, artificial intelligence network, face recognition, computer vision security model, model construction

Cite As

N. Si, L. Tan, L. Yin, Z. Liu, "Construction of Computer Vision Security Model Based on Machine Learning and Artificial Intelligence Networks", Engineering Intelligent Systems, vol. 34 no. 3, pp. 319-329, 2026.

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Published

2026-05-01

Issue

Vol. 34 No. 3 (2026): International Journal of Engineering Intelligent Systems

Section

Article

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