Smart Technology: Artificial Intelligence, Robotics and Algorithms

A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Smart System Infrastructure and Applications".

Deadline for manuscript submissions: 30 November 2025 | Viewed by 265

Special Issue Editors


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Guest Editor
School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing 100876, China
Interests: semantic communications; wireless artificial intelligence

E-Mail Website
Guest Editor
Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876, China
Interests: generative AI; intelligent communications; coding techniques

Special Issue Information

Dear Colleagues,

In recent years, artificial intelligence (AI) and robotics have made significant strides. Various AI and robotics algorithms have been applied across different disciplines, achieving remarkable results. While the interdisciplinary integration of different fields presents new opportunities for the advancement of AI and robotics, it also introduces unique challenges due to the specialized knowledge required in these intersecting domains. This Special Issue aims to collect new manuscripts focusing on the applications of AI and robotics in diverse fields such as wireless communications, precision agriculture, etc. The manuscripts may propose new foundational algorithms or entirely new applications. The ultimate goal of this Special Issue is to promote the implementation of AI and robotics technologies across different sectors.

Dr. Fengyu Wang
Dr. Jincheng Dai
Guest Editors

Manuscript Submission Information

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Keywords

  • artificial intelligence algorithms
  • multi-modal artificial intelligence
  • artificial intelligence empowered systems
  • artificial intelligence empowered evaluation
  • robotics algorithms
  • novel applications of artificial intelligence

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Published Papers (1 paper)

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Research

21 pages, 9744 KiB  
Article
Real-Time Identification of Look-Alike Medical Vials Using Mixed Reality-Enabled Deep Learning
by Bahar Uddin Mahmud, Guanyue Hong, Virinchi Ravindrakumar Lalwani, Nicholas Brown and Zachary D. Asher
Future Internet 2025, 17(5), 223; https://doi.org/10.3390/fi17050223 - 16 May 2025
Viewed by 18
Abstract
The accurate identification of look-alike medical vials is essential for patient safety, particularly when similar vials contain different substances, volumes, or concentrations. Traditional methods, such as manual selection or barcode-based identification, are prone to human error or face reliability issues under varying lighting [...] Read more.
The accurate identification of look-alike medical vials is essential for patient safety, particularly when similar vials contain different substances, volumes, or concentrations. Traditional methods, such as manual selection or barcode-based identification, are prone to human error or face reliability issues under varying lighting conditions. This study addresses these challenges by introducing a real-time deep learning-based vial identification system, leveraging a Lightweight YOLOv4 model optimized for edge devices. The system is integrated into a Mixed Reality (MR) environment, enabling the real-time detection and annotation of vials with immediate operator feedback. Compared to standard barcode-based methods and the baseline YOLOv4-Tiny model, the proposed approach improves identification accuracy while maintaining low computational overhead. The experimental evaluations demonstrate a mean average precision (mAP) of 98.76 percent, with an inference speed of 68 milliseconds per frame on HoloLens 2, achieving real-time performance. The results highlight the model’s robustness in diverse lighting conditions and its ability to mitigate misclassifications of visually similar vials. By combining deep learning with MR, this system offers a more reliable and efficient alternative for pharmaceutical and medical applications, paving the way for AI-driven MR-assisted workflows in critical healthcare environments. Full article
(This article belongs to the Special Issue Smart Technology: Artificial Intelligence, Robotics and Algorithms)
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