Application of Object Detection and Face Recognition with Customize Dataset on Service Robot
- DOI
- 10.2991/978-94-6463-620-8_5How to use a DOI?
- Keywords
- Service Robot; Computer Vision; Yolov5
- Abstract
Computer vision technology is currently gaining traction in all industries, including manufacturing, agriculture, healthcare, and services. Computer vision technology now incorporates robotics technology, making it very dynamic and flexible. Computer vision, like a service robot, is used in a variety of applications, including safety, analysis, and service. One of the skills of service robots is the ability to recognize its users through the use of computer vision. So that by recognizing the user, the robot can be commanded according to the user’s wishes. Computer vision on service robots is trained using a special dataset that includes the object of a user’s face. The computer will be trained by recognizing its users through digital images and annotating their faces, followed by training using the yolov5 architecture and applying the resulting data to the robot.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Ryan Satria Wijaya AU - Wiki Saputra AU - Senanjung Prayoga AU - Eko Rudiawan Jamzuri PY - 2024 DA - 2024/12/25 TI - Application of Object Detection and Face Recognition with Customize Dataset on Service Robot BT - Proceedings of the 7th International Conference on Applied Engineering (ICAE 2024) PB - Atlantis Press SP - 51 EP - 65 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-620-8_5 DO - 10.2991/978-94-6463-620-8_5 ID - Wijaya2024 ER -