Facial recognition system for access control through Artificial Intelligence
Abstract
The main objective of this article is the development of a system that allows the facial recognition of a person for access control through Artificial Intelligence. For the development of the system, the Convolutional Neural Networks algorithm was used, which is a recognition model. Likewise, the Python programming language and the following libraries such as Numpy, Os, OpenCV and Imutils were used for its implementation. The results obtained according to the hit and using a dataset of 4500 images are approximately 88% in terms of the prediction per person, concluding that the recognition system is effective and has greater efficiency by increasing the size of datasets generated by individuals.
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- Conceptualization
- Data curation
- Investigation
- Methodology
- Software
- Validation
- Writing - original draft
- Conceptualization
- Data curation
- Investigation
- Methodology
- Software
- Validation
- Writing - original draft
- Conceptualization
- Data curation
- Investigation
- Methodology
- Software
- Validation
- Writing - original draft
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