Robotics, Control and Computer Vision [electronic resource] : Select Proceedings of ICRCCV 2022 / edited by Hariharan Muthusamy, János Botzheim, Richi Nayak.

Colaborador(es): Muthusamy, Hariharan [editor.] | Botzheim, János [editor.] | Nayak, Richi [editor.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Lecture Notes in Electrical Engineering ; 1009Editor: Singapore : Springer Nature Singapore : Imprint: Springer, 2023Edición: 1st ed. 2023Descripción: XII, 620 p. 339 illus., 289 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9789819902361Tema(s): Control engineering | Robotics | Automation | Computer vision | Application software | Control, Robotics, Automation | Computer Vision | Computer and Information Systems ApplicationsFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 629.8 Clasificación LoC:TJ212-225TJ210.2-211.495Recursos en línea: Libro electrónicoTexto
Contenidos:
Chapter 1: Challenges and Opportunity for Salient Object Detection in COVID-19 Era: A Study -- Chapter 2: Multi-agent Task Assignment Using Swap-Based Particle Swarm Optimization for Surveillance and Disaster Management -- Chapter 3: Facemask Detection and Maintaining Safe Distance Using AI and ML to Prevent COVID-19-A Study.
En: Springer Nature eBookResumen: This book presents select peer-reviewed papers from the International Conference on Robotics, Control, and Computer Vision (ICRCCV 2022). The contents focus on the latest research in the field of Robotics, their control, and computer vision in the context of robotics. The contributed papers have been arranged to give a flow to the reader. This book will be useful for students, researchers, and professionals from multidisciplinary fields such as mechanical engineering, electronics engineering, electrical engineering, computer science, and mathematics.
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Chapter 1: Challenges and Opportunity for Salient Object Detection in COVID-19 Era: A Study -- Chapter 2: Multi-agent Task Assignment Using Swap-Based Particle Swarm Optimization for Surveillance and Disaster Management -- Chapter 3: Facemask Detection and Maintaining Safe Distance Using AI and ML to Prevent COVID-19-A Study.

This book presents select peer-reviewed papers from the International Conference on Robotics, Control, and Computer Vision (ICRCCV 2022). The contents focus on the latest research in the field of Robotics, their control, and computer vision in the context of robotics. The contributed papers have been arranged to give a flow to the reader. This book will be useful for students, researchers, and professionals from multidisciplinary fields such as mechanical engineering, electronics engineering, electrical engineering, computer science, and mathematics.

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