TY - CONF TI - AI-based safety monitoring using SKOPIA for preventing accidents in heavy equipment operations at Jragung Dam construction project C1 - Singapore, Singapore C3 - Proceedings of the 34th Annual Conference of the International Group for Lean Construction (IGLC 34) SP - 74 EP - 84 PY - 2026 DO - 10.24928/2026/0180 AU - Nugroho, Andrianto Widhi AU - Atiekasari, Ayu Nindya AU - Akbar, Satria Maulana AU - Rayadi, Adi Tisna AU - Stiefani, Natasya AU - Setyawan, Bagus Hendri AD - Project Manager, Jragung Dam Construction Project, Division of Infrastructure 1, PT Wijaya Karya (Persero) Tbk, Jakarta, Indonesia, andrianto.nugroho@wikamail.id , orcid.org/0009-0000-6152-9686 AD - Site Manager of HSE, Jragung Dam Construction Project, Division of Infrastructure 1, PT Wijaya Karya (Persero) Tbk, Jakarta, Indonesia, nindya@wikamail.id , orcid.org/0009-0008-1324-3841 AD - Staf of Engineer, Jragung Dam Construction Project, Division of Infrastructure 1, PT Wijaya Karya (Persero) Tbk, Jakarta, Indonesia, satria.maulana@wikamail.id , orcid.org/0009-0007-6704-8876 AD - Manager of Quantity Survey, Division of Infrastructure 1, PT Wijaya Karya (Persero) Tbk, Jakarta, Indonesia, aditisna@wikamail.id , orcid.org/0009-0004-3242-9941 AD - Junior Expert of Risk Management, Division of Infrastructure 1, PT Wijaya Karya (Persero) Tbk, Jakarta, Indonesia, natasya.s@wikamail.id , orcid.org/0009-0003-2877-696X AD - Staff of Quantity Survey, Division of Infrastructure 1, PT Wijaya Karya (Persero) Tbk, Jakarta, Indonesia, bagus.hs@wikamail.id , orcid.org/0009-0006-3419-4597 ED - Hamzeh, Farook ED - Poshdar, Mani ED - Garcia-Lopez,, Nelly P. AB - Construction projects involving heavy equipment operations present significant safety risks due to close interactions between workers and heavy equipment, limited visibility, and reliance on manual supervision. Heavy equipment-related accidents remain one of the leading causes of fatal incidents in infrastructure projects. This study examines the implementation of an artificial intelligence (AI)-based safety monitoring system, SKOPIA (Smart Kit & Observation Platform for Industrial Awareness), to prevent heavy equipment accidents in a dam construction project. A case study approach was adopted at the Jragung Dam Construction Project Package V in Indonesia. The system utilizes computer vision, machine learning, and real-time alert mechanisms to monitor worker and equipment movements within hazardous zones. Data were collected through field observations, near-miss records, and operational comparisons before and after implementation. The signalman observation period is January – May 2025 while the SKOPIA observation period is June – September 2025. Observations are carried out every day when work is carried out with the Transport Lift Aircraft. The findings indicate that AI-based monitoring enhances early hazard detection, reduces response time, and minimizes dependency on manual signalmen. This study contributes empirical evidence on integrating AI-enabled monitoring into proactive safety management, supporting lean construction principles and risk-based accident prevention in large-scale infrastructure projects. KW - AI KW - safety KW - lean construction KW - heavy equipment operations KW - dam projects. PB - T2 - Proceedings of the 34th Annual Conference of the International Group for Lean Construction (IGLC 34) DA - 2026/06/22 CY - Singapore, Singapore L1 - http://iglc.net/Papers/Details/2489/pdf L2 - http://iglc.net/Papers/Details/2489 N1 - Export Date: 19 June 2026 DB - IGLC.net DP - IGLC LA - English ER -