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Under the Spotlight! Facial Recognition Applications in Prison Security: Bayesian Modeling and ISO27001 Standard Implementation

  • Diego Donoso,
  • Gino Cornejo,
  • Carlos Calahorrano,
  • Santiago Donoso,
  • Erika Escobar

摘要

This article highlights the importance of using Bayesian models and adhering to the ISO27001 standard in developing a web application to enhance prison security through facial recognition techniques. The proposed approach includes several key stages: 1. Identify the functional and non-functional requirements of the application, ensuring alignment with the desired objectives. 2. Design the application architecture and carefully select facial recognition techniques and Bayesian models that best suit the intended purpose. 3. Implement the application and perform thorough unit and integration testing to ensure functionality and compatibility. 4. Performed an experimental evaluation of the application in a controlled test environment, using performance and security metrics as benchmarks. The results demonstrate that using a web application integrated with a Bayesian model, in conjunction with adherence to the standardized practices outlined in ISO27001, enables the proactive identification of risks and threats. As a result, it serves as a valuable tool for mitigating prison insecurity.