Drone-mounted RFID-based rack localization for assets in warehouses using deep learning

Fontaine, Jaron; Waele, Timo De; Shahid, Adnan; Tanghe, Emmeric; Suanet, Pieter; Joseph, Wout; Hoebeke, Jeroen; Poorter, Eli De

doi:10.1109/etfa45728.2021.9613562

Cited by 4 publications

(2 citation statements)

References 5 publications

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“…In the indoor warehouse, UAVs are limited to utilizing the fundamental navigation systems [72], i.e., global positioning systems (GPS) and global navigation satellite systems (GNSS), as opposed to outdoor operations. For these reasons, several studies highlighted the sensor as a critical factor for navigating indoor warehouses (e.g., [37,44,48]). Moreover, LIDAR, also known as a 3D laser scanner, is one of the most recommended sensors.…”

Section: • Hardwarementioning

confidence: 99%

Implementation and Critical Factors of Unmanned Aerial Vehicle (UAV) in Warehouse Management: A Systematic Literature Review

Malang

Charoenkwan

Wudhikarn

2023

Drones

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Unmanned aerial vehicles (UAVs) have proven to be a key solution for nearly automated or smart warehouse operations, enabling receiving, picking, storage, and shipping processes to be timely and more efficient. However, there is a relative scarcity of review studies specifically on UAV-based warehouse management. Research knowledge and insights on UAV applications in this field are also limited and could not sufficiently or practically support decision-making on commercial utilization. To leverage the potential applications and current situation of UAVs, this study provides a systematic literature review (SLR) on UAV adoption in warehouse management. SLR approach was critically conducted to identify, select, assess, and summarize findings, mainly on the two descriptive research questions; what are the past applications of UAV, and what are critical factors affecting UAV adoption in warehouse management? Five key critical factors and 13 sub-factors could be observed. The results revealed that hardware (e.g., payloads, battery power, and sensors) and software factors (e.g., scheduling, path planning, localization, and navigation algorithms) are the most influential factors impacting drone adoption in warehouse management. The managerial implications of our research findings that guide decision-makers or practitioners to effectively employ UAV-based warehouse management in good practice are also discussed.

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Section: • Hardwarementioning

confidence: 99%

Implementation and Critical Factors of Unmanned Aerial Vehicle (UAV) in Warehouse Management: A Systematic Literature Review

Malang

Charoenkwan

Wudhikarn

2023

Drones

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“…One of the overall goals of industry 4.0 is to further select intelligent technology to help people make decisions and carry out complex work [1]. Wireless communication technology (RFID) [2] is increasingly used to uniquely identify objects.…”

Section: Introductionmentioning

confidence: 99%

The RFID Electronic Tag Defect Detection System Based On YOLOv5 For Industrial Scenarios

Zhou¹,

Ding²,

Du³

et al. 2022

Proceedings of International Exchange and Innovation Conference on Engineering &Amp; Sciences (IEICES)

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Recent technological progress has promoted a large number of development trends in the Radio Frequency Identification (RFID) system. RFID tag detection/identification is one of the most critical problems in successfully deploying the RFID system in various applications. However, many significant issues related to detecting RFID tag defects have not been addressed. The main problems of RFID electronic tag defect detection methods in industrial scenarios are low efficiency, low accuracy, and high labor costs. This paper analyses the characteristics of RFID tag defects based on defect samples, and a detection and prediction method related to YOLOv5 is proposed. In this experiment, a real-time RFID tag defect intelligent detection system embedded in the YOLOv5 model was developed and applied to industrial production. The results show that this system has higher accuracy in defect detection, faster detection time, and saves labor costs, which can meet industrial needs.

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Reviewing and conceptualising the role of 4.0 technologies for sustainable warehousing

Perotti,

Cannava,

Ries

et al. 2024

International Journal of Production Research

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Drone-mounted RFID-based rack localization for assets in warehouses using deep learning

Cited by 4 publications

References 5 publications

Implementation and Critical Factors of Unmanned Aerial Vehicle (UAV) in Warehouse Management: A Systematic Literature Review

Implementation and Critical Factors of Unmanned Aerial Vehicle (UAV) in Warehouse Management: A Systematic Literature Review

The RFID Electronic Tag Defect Detection System Based On YOLOv5 For Industrial Scenarios

Reviewing and conceptualising the role of 4.0 technologies for sustainable warehousing

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