Access Control with Facial Recognition: A Systematic Literature Review

• DOI: 10.55592/cilamce.v6i06.8203
• Publication Date: 2025-01-14T11:10:10Z
• Authors: Thalita Ribeiro ...; Rogério Alves do...; Alex Fernando de...

Counting people or even identifying individuals present in a given place is fundamental task for public and private sectors and/or institutions that need to manage the access permanence of certain places. This not different at Federal Institute Education, Science Technology Mato Grosso do Sul - Campus Três Lagoas, which has large physical space only few employees control supervise these facilities, are shared by high school college students, requiring more strict control, especially research laboratories. Several tools methodologies have been proposed meet this demand, including use DeepLearning, convolutional networks wide variety facial recognition algorithms, show great potential, as they several solutions literature. The aim paper carry out systematic review literature, broadly investigating best practices success cases using people's environments. makes significant contribution those who intend develop field, it presents an overview discusses what already tested returned good outcome did generate satisfactory result, well presenting results tests proofs concept carried IFMS Lagoas.