Edge AI-based Forklift Safety Support System

被引：0
|
作者：
Takubo, Shinya [1 ]
Nagata, Atsuki [1 ]
Ikai, Shungo [1 ]
Li, Mofei [1 ]
Nishioka, Shingo [1 ]
Yoshimura, Akinobu [1 ]
机构：
[1] IoT R&D Center
来源：
SEI Technical Review | 2024年 / 98期
关键词：
Accident prevention - Materials handling equipment;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
To mitigate accidents involving forklifts and people, we have developed a forklift safety support system capable of detecting the presence of people near a forklift. Real-time responsiveness is crucial, necessitating immediate detection and reporting. To address this, we propose utilizing edge computing to enable swift responses. This paper introduces a forklift safety support system leveraging edge AI installed in a compact edge computer. Additionally, we discuss the evaluation of edge AI's accuracy and speed at the edge, along with the examination of techniques to enhance the accuracy efficiently. © 2024 Sumitomo Electric Industries Ltd.. All rights reserved.
引用
收藏
页码：71 / 76
相关论文
共 50 条
  • [21] A Hardware Acceleration Platform for AI-Based Inference at the Edge
    Karras, Kimon
    Pallis, Evangelos
    Mastorakis, George
    Nikoloudakis, Yannis
    Batalla, Jordi Mongay
    Mavromoustakis, Constandinos X.
    Markakis, Evangelos
    CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 2020, 39 (02) : 1059 - 1070
  • [22] A Hardware Acceleration Platform for AI-Based Inference at the Edge
    Kimon Karras
    Evangelos Pallis
    George Mastorakis
    Yannis Nikoloudakis
    Jordi Mongay Batalla
    Constandinos X. Mavromoustakis
    Evangelos Markakis
    Circuits, Systems, and Signal Processing, 2020, 39 : 1059 - 1070
  • [23] AI-Based Control for Edge Cloud Optical Networks
    Zhu, Shengxiang
    Yu, Jiakai
    Adams, Tasha
    Kilper, Daniel C.
    2019 ASIA COMMUNICATIONS AND PHOTONICS CONFERENCE (ACP), 2019,
  • [24] Assuring the safety of AI-based clinical decision support systems: a case study of the AI Clinician for sepsis treatment
    Festor, Paul
    Jia, Yan
    Gordon, Anthony C.
    Faisal, A. Aldo
    Habli, Ibrahim
    Komorowski, Matthieu
    BMJ HEALTH & CARE INFORMATICS, 2022, 29 (01)
  • [25] IoMT with Deep CNN: AI-Based Intelligent Support System for Pandemic Diseases
    Thandapani, Sujithra
    Mahaboob, Mohamed Iqbal
    Iwendi, Celestine
    Selvaraj, Durai
    Dumka, Ankur
    Rashid, Mamoon
    Mohan, Senthilkumar
    ELECTRONICS, 2023, 12 (02)
  • [26] AI-Based Medical Scribe to Support Clinical Consultations: A Proposed System Architecture
    Montenegro, Larissa
    Gomes, Luis M.
    Machado, Jose M.
    PROGRESS IN ARTIFICIAL INTELLIGENCE, EPIA 2023, PT II, 2023, 14116 : 274 - 285
  • [27] AI-based Automated Japanese Short-answer Scoring and Support System
    Ishioka, Tsunenori
    Kameda, Masayuki
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE (ICPRAI 2018), 2018, : 138 - 143
  • [28] AI-Based Assistance System for Manufacturing
    Deppe, Sahar
    Brandt, Lukas
    Bruenninghaus, Marc
    Papenkordt, Jorg
    Heindorf, Stefan
    Tschirner-Vinke, Gudrun
    2022 IEEE 27TH INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION (ETFA), 2022,
  • [29] AI-Based Health Management System
    Nagulpelli, Swadhin
    Chavan, Akash
    Kandalkar, Aniket
    Kulkarni, Smita
    INTELLIGENT SYSTEMS AND APPLICATIONS, ICISA 2022, 2023, 959 : 379 - 389
  • [30] AI-Based Health Management System
    Nagulpelli, Swadhin
    Chavan, Akash
    Kandalkar, Aniket
    Kulkarni, Smita
    Lecture Notes in Electrical Engineering, 2023, 959 : 379 - 389
12345