Empowering Mechanical Engineering: The Role of Convolutional Neural Networks in Facial and Emotion Recognition in Engineering Contexts. Undergraduate Thesis

ABSTRACT : In the realm of mechanical engineering, seamless human-machine interaction is pivotal for innovation and progress. This internship proposal aims to develop real-time facial and emotion recognition software, addressing a critical need in the field. Such technology holds vast potential to t...

Full description

Autores:

Galeano Ruiz, Melissa

Tipo de recurso:

Trabajo de grado de pregrado

Fecha de publicación:

2024

Institución:

Universidad de Antioquia

Repositorio:

Repositorio UdeA

Idioma:

eng

OAI Identifier:

oai:bibliotecadigital.udea.edu.co:10495/43459

Acceso en línea:

https://hdl.handle.net/10495/43459

Palabra clave:

Neural Networks, Computer
Redes Neurales de la Computación
Innovation
Innovación
Artificial intelligence
Inteligencia artificial
Face perception
Percepción de caras
Robots, industrial
Robots industriales
Detección de emociones
Visión por computadora
http://vocabularies.unesco.org/thesaurus/concept17170
http://vocabularies.unesco.org/thesaurus/concept3052
https://id.nlm.nih.gov/mesh/D016571

Rights

embargoedAccess

License

https://creativecommons.org/licenses/by-nc-sa/4.0/