TY  - JOUR
AV  - none
PB  - Emerald Publishing
SP  - 770
EP  - 789
ID  - scholars19730
TI  - Factors affecting the implementation of automated progress monitoring of rebar using vision-based technologies
IS  - 3
KW  - Automation; Monitoring; Reinforced concrete; Surveys
KW  -  Automated monitoring; Digital monitoring; Industry stakeholders; Monitoring parameters; Quality inspection; Quality inspection methodology; Rebar monitoring parameter; Steel reinforcements; Technical factors; Vision based
KW  -  Construction industry
SN  - 14714175
N2  - Purpose: Rebar is the prime component of reinforced concrete structures, and rebar monitoring is a time-consuming and technical job. With the emergence of the fourth industrial revolution, the construction industry practices have evolved toward digitalization. Still, hesitation remains among stakeholders toward the adoption of advanced technologies and one of the significant reasons is the unavailability of knowledge frameworks and implementation guidelines. This study aims to investigate technical factors impacting automated monitoring of rebar for the understanding, confidence gain and effective implementation by construction industry stakeholders. Design/methodology/approach: A structured study pipeline has been adopted, which includes a systematic literature collection, semistructured interviews, pilot survey, questionnaire survey and statistical analyses via merging two techniques, i.e. structural equation modeling and relative importance index. Findings: The achieved model highlights â??digital imagesâ?? and â??scanningâ?? as two main categories being adopted for automated rebar monitoring. Moreover, â??external influenceâ??, â??data-capturingâ??, â??image qualityâ??, and â??environmentâ?? have been identified as the main factors under â??digital imagesâ??. On the other hand, â??object distanceâ??, â??rebar shapeâ??, â??occlusionâ?? and â??rebar spacingâ?? have been highlighted as the main contributing factors under â??scanningâ??. Originality/value: The study provides a base guideline for the construction industry stakeholders to gain confidence in automated monitoring of rebar via vision-based technologies and effective implementation of the progress-monitoring processes. This study, via structured data collection, performed qualitative and quantitative analyses to investigate technical factors for effective rebar monitoring via vision-based technologies in the form of a mathematical model. © 2022, Emerald Publishing Limited.
VL  - 24
JF  - Construction Innovation
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141575172&doi=10.1108%2fCI-04-2022-0076&partnerID=40&md5=cee532ab6d06ed6aa96c738057a9e173
N1  - cited By 3
A1  - Qureshi, A.H.
A1  - Alaloul, W.S.
A1  - Wing, W.K.
A1  - Saad, S.
A1  - Alzubi, K.M.
A1  - Musarat, M.A.
Y1  - 2024///
ER  -