Design of an Introduction Robot for Exhibition
- DOI
- 10.2991/978-94-6463-002-2_10How to use a DOI?
- Keywords
- Automobile exhibition robot; STM32F767IGT; Voice module; SD card
- Abstract
In order to facilitate the on-site service of large-scale Auto Show, we designed an intelligent human-computer interactive exhibition robot. The exhibition introduces robot uses STM32f767IGT and STC11l08XE micro-controllers as controllers, uses infrared proximity sensors to detect exhibitors approaching the robot, uses speech recognition chip ID3320 to recognize the voice content of exhibitors, and identify the exhibition intention, Use speech synthesis chip XSF5152CE to carry out human-computer interaction and explain the information of the corresponding booth in the exhibition hall. In addition, uses the infrared 5-way tracking sensor module to identify the driving line, and sues the OV5640 camera to identify the QR code information of the designated booth and store it in the SD card, so as to update the on-site layout and booth information of the auto show. The designed robot can complete the basic task of automobile exhibition introduction.
- Copyright
- © 2023 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 - Kai Fang AU - Xin Xu AU - Guanghui Yan PY - 2022 DA - 2022/11/10 TI - Design of an Introduction Robot for Exhibition BT - Proceedings of the 2nd International Conference on Artificial Intelligence and Cloud Computing (ICAICC 2022) PB - Atlantis Press SP - 73 EP - 79 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-002-2_10 DO - 10.2991/978-94-6463-002-2_10 ID - Fang2022 ER -