Deep Learning-Based PC Member Crack Detection and Quality Inspection Support Technology for the Precise Construction of OSC Projects

Seojoon Lee, Minkyeong Jeong, Chung-Suk Cho, Jaewon Park, Soonwook Kwon

Applied Sciences 2022 article cited by 32

Source Open-access PDF More in Engineering & Materials

importance 4/10 ai assisted Infrastructure Maintenance and Monitoring construction stage: research

Problem

Quality inspection of precast concrete (PC) members in off-site construction is inaccurate, slow and costly due to shortage of inspection manpower.

Why it matters

Faulty PC members compromise construction quality and waste time and money on-site.

What the AI did

A deep learning-based crack detection and quality inspection support system for PC members, with inspection items classified from existing standards.

Results

not stated in source

Impact

Evidence indicates a deep-learning inspection support tool was developed, but the abstract is truncated with no performance figures.

Record

Venue	Applied Sciences
Published	2022
Work type	article
Authors	Seojoon Lee, Minkyeong Jeong, Chung-Suk Cho, Jaewon Park, Soonwook Kwon
Citations	32 (OpenAlex, at import time)
References	35
Model or method	not stated in source
Organization	not stated in source
Primary source	https://doi.org/10.3390/app12199810
Open access	gold
Keywords	crack detection, deep learning, precast concrete, off-site construction, quality inspection

Importance rating

4 / 10

real but narrower advance

Automating precast concrete crack inspection addresses real quality and labor-shortage costs in off-site construction, but abstract is truncated with no performance figures; a narrower industry advance.

Basis: inferred. Judged from the source text, which gives no explicit scale. Stated scale: not stated in source. Method and limits.

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