Risk State Prediction at Construction Sites

VLM-based risk prediction system for detecting unsafe worker behavior and equipment hazards โ€” funded by Doosan Enerbility

Doosan Enerbility

Funded by Doosan Enerbility ยท 2025

Developed a vision-language model (VLM) based risk-state prediction system fine-tuned to detect unsafe worker behavior and equipment hazards from construction site images.

Key Contributions

  • Fine-tuned VLM for industrial safety domain
  • Detected unsafe worker behavior and equipment hazards from visual inputs
  • Built evaluation benchmark for construction site risk classification