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Neulbom A-Eye — South Korea's LH Cuts Construction-Site Accidents Nearly 40% With AI+IoT Safety Monitoring

South Korea · Jinju · See the South Korea profile

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Korea Land & Housing Corporation's AI-and-IoT monitoring system flags missing hard hats, falls and danger-zone breaches on 311 construction sites; LH reports site accidents fell from 263 in 2024 to 160 in 2025, about 40% lower.

Neulbom A-Eye — South Korea's LH Cuts Construction-Site Accidents Nearly 40% With AI+IoT Safety Monitoring

Details

Promoter
Korea Land & Housing Corporation (LH)
Period
2022-2026
Keywords
construction, occupational safety, public housing, AI/IoT monitoring

Description

Korea Land & Housing Corporation (LH), the country's largest public housing and infrastructure developer, has rolled out an AI-based real-time monitoring system named "Neulbom A-Eye" across construction sites and public housing it manages. The system analyses CCTV footage and IoT sensor data (tilt meters, crack sensors) to detect four hazard categories in real time - workers without safety helmets, falls or collapses, falls from height, and unauthorised entry into danger zones - and immediately alerts site managers through IoT-linked warnings.
As of March 2026, LH had deployed the AI analysis solution across 311 construction sites nationwide, with plans to extend it to all LH-managed site CCTV by the end of 2026. LH reported that safety accidents at its construction sites fell from 263 in 2024 to 160 in 2025 - a roughly 40% year-on-year drop - figures the company attributes in part to the new monitoring system, though it did not publish an independent causal evaluation isolating the AI system's contribution from other safety measures introduced over the same period. By August 2026, coverage had reportedly extended toward roughly 350 sites, with the corporation concentrating daily attention on its 20 highest-risk locations rather than spreading resources evenly.
The approach builds on an earlier, separate 2021-22 pilot by the Seoul Metropolitan Government, which tested CCTV+AI hazard detection at around 100 small and medium private construction sites and cut emergency-alert response times from 5-10 minutes to about 30 seconds - an early signal that the broader approach, though run by a different public body, had measurable operational benefits before LH's national rollout.

Read the full analysis: https://biz.heraldcorp.com/article/10701957

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