Automated Part Tracking on the Construction Job Site

Stone, William C.; Pfeffer, Lawrence E.; Furlani, Karen M.

doi:10.1061/40476(299)12

Cited by 7 publications

(4 citation statements)

References 4 publications

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“…RFID has been widely deployed in variety of applications, such as logistics [6], mining [7], air cargo [8], hospitals [9], museums [10], retailing [11][12][13], and waste management [14]. RFID has recently attracted significant attention in construction areas such as material tracking (e.g., structural steel members), quality control, equipment monitoring and inspection, and maintenance [15][16][17][18].…”

Section: Relevant Workmentioning

confidence: 99%

Evaluating the Performance of Absolute RSSI Positioning Algorithm-Based Microzoning and RFID in Construction Materials Tracking

Truijens

Wang

Graaf³

et al. 2014

Mathematical Problems in Engineering

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High accuracy of construction materials tracking with radio frequency identification technology (RFID) is challenging to achieve. The microzoning method consists essentially of an absolute received signal strength indication (RSSI) positioning algorithm on the basis of measuring the distance of tag from antennas base. In this paper, we analyse and examine the effects of microzoning method on the performance of RFID tags. A system was set up whereby RFID tags and antennas with the microzoning method were developed and studied. The performance of the tag antennas was studied with the practical read-range measurements. The study results showed that this absolute algorithm worked reliably and was suitable for RFID applications requiring identification of positions of onsite materials and components. The results also showed that the algorithm achieved a large read range and high accuracy. The study investigates the RFID solutions for Australian LNG (liquefied natural gas) industry and was initiated by the collaboration between Woodside Energy, Curtin University, and Industrial Automation Group Pty Ltd.

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Section: Relevant Workmentioning

confidence: 99%

Evaluating the Performance of Absolute RSSI Positioning Algorithm-Based Microzoning and RFID in Construction Materials Tracking

Truijens

Wang

Graaf³

et al. 2014

Mathematical Problems in Engineering

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“…Sensor-based methods involve sensor installation for signal analysis, utilizing sensing technologies like GPS and RFID [17,40]. While effective, these methods incur significant costs and management burdens.…”

Section: B Ppe Detection Technology Based On Deep Learningmentioning

confidence: 99%

Personal Protective Equipment Detection for Construction Workers: A Novel Dataset and Enhanced YOLOv5 Approach

Yipeng,

Junwu

2024

IEEE Access

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Current research on personal protective equipment (PPE) detection has mainly focused on hard hats, overlooking the detection of reflective clothing. Therefore, this study aims to address this research gap comprehensively. We achieve this by creating a novel dataset using semi-automatic labeling techniques and enhancing the YOLOv5 model. The dataset consists of four categories, assessing the presence of hard hats and reflective clothing. Additionally, we introduce an attention mechanism and an improved loss function to tackle challenges related to detecting reflective clothing and overlapping detection frames. Through extensive multi-model comparison experiments, our improved model, AL-YOLOv5, outperforms the baseline model with remarkable advancements of 0.9 AP in the data-limited category and 0.4 mAP overall. Notably, our improved model shows substantial progress in detecting reflective clothing, significantly reducing false detections, and improving overlapping bounding frames. In conclusion, this study contributes to PPE detection accuracy through a novel dataset and an improved model.

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“…Specifically, there is still no means for efficiently influence the fabrication delivery process from the construction site (Stone et al, 2000). Computer integration emerged as a possible solution to overcome this limitation, thus facilitating the integration of design, fabrications, delivery and placement of rebar (Dunston and Bernold, 2000).…”

Section: Enabling Technologies In E-businessmentioning

confidence: 99%

Enabling e-business tools and robotics technology for teleconstruction

Böck¹,

Nohmi²,

Skibniewski³

2006

Auton Robot

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This paper proposes a comprehensive approach to the development of technology infrastructure for the application of information techology (IT) based solutions in teleconstruction-the performance of on-site construction and related tasks through the use of IT and robotics by a remotely located team of project participants: general contractor, subcontractors, equipment operators, materials suppliers, and project office professionals. The paper proposes that technologies exist that enable both terrestrial and extraterrestrial teleconstruction.

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Automated Part Tracking on the Construction Job Site

Cited by 7 publications

References 4 publications

Evaluating the Performance of Absolute RSSI Positioning Algorithm-Based Microzoning and RFID in Construction Materials Tracking

Evaluating the Performance of Absolute RSSI Positioning Algorithm-Based Microzoning and RFID in Construction Materials Tracking

Personal Protective Equipment Detection for Construction Workers: A Novel Dataset and Enhanced YOLOv5 Approach

Enabling e-business tools and robotics technology for teleconstruction

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