CampuScout: AIoT-Powered Guide for University Campus Exploration
Traditional guided tours in university settings are often resource-intensive, inflexible, and lack personalization, which can limit visitor engagement. This paper presents CampuScout, an AIoT-driven solution designed to provide autonomous and interactive university campus tours. Leveraging the advanced capabilities of the AIOT SerBot PrimeX, CampuScout integrates artificial intelligence (AI) with Internet of Things (IoT) technologies to offer real-time navigation, object detection, and dynamic interaction for both on-campus and remote visitors. The system utilizes AI for accurate object recognition and QR code interaction, creating an immersive educational experience that surpasses traditional human-guided tours in accessibility, efficiency, and user personalization. Real-world testing has demonstrated high detection accuracy rates and significant engagement improvements, providing a compelling alternative to conventional campus exploration. This paper also discusses system optimizations and outlines future enhancements to further improve the system's capabilities and user experience.
Authors
- Mohamed S. Soliman (ORCID: https://orcid.org/0000-0002-9431-4195)
- Laila Shoukry (ORCID: https://orcid.org/0000-0002-8796-1271)
- Mohamed S. Elredeny (ORCID: https://orcid.org/0009-0000-6043-0270)
- Youssef Abdelalim
Institutions
- AlAlamein International University (EG)
Publication Details
- Published
- 2024-11-19
- DOI
- https://doi.org/10.1109/gcaiot63427.2024.10833596
- Primary Topic
- Robotics and Automated Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00