Context-Aware Industrial Safety Monitoring via Multi-level AI: Eliminating Contextual Blindness in PPE Compliance using Spatial Reasoning and Generative Models
Aug 2026· SN Computer Science· Vol 7· 0 citations· 28 references
TL;DR
This study proposes “Vanguard AI,” an end-to-end cloud-edge architecture utilizing an experimentally validated YOLOv11m detection framework, delivering the first unified, production-viable architecture for context-aware compliance auditing and dynamic risk assessment in industrial environments.
This paper develops a BIM-integrated, explainable, and deployment-aware decision-support framework for real-time personal protective equipment (PPE) monitoring in Yemen’s construction sector. Its contribution is an integration-based decision-support artifact rather than a new PPE detection algorithm. The study addresse...
Ezzaldeen Al-Tayar, Saleem Ahmed Al-Azazi, A. Ali et al.· 2026 6th International Confe...· 0 citations
This work evaluates several state-of-the-art VLMs across two datasets and multiple prompting strategies to test whether an explicit distinction between hazard and anomaly changes model behavior, and shows that explicitly separating anomaly from hazard provides a more informative evaluation of VLM safety reasoning and e...
M. Indukuri, Mohammad Eskandari, Sree Nitya Kollu et al.· arXiv.org· 0 citations
MulRobBench provides a reproducible benchmark for trustworthy multimodal UAV decision making under realistic operational constraints and identifies modality-trust selection, constraint extraction, glare, missing data, and operator shorthand as the primary causes of decision instability.
B. Alsinglawi, Wei-Zheng Wang, Jun-Yi Wu et al.· arXiv.org· 0 citations
Logistics Cyber-Physical Systems (LCPS) generate large volumes of regulatory and operational texts that encode early signals of safety risks. Converting short, noisy, and domain-specific records into actionable intelligence is difficult due to industrial semantic drift and the limited auditability of black-box predicto...
Ke Huang, Yan Liu, Bin Guo et al.· Annual International Compute...· 0 citations
A five -phase validation programme covering bench metrology, public -dataset evaluation, simulator experiments, closed -track trials, and regulatory readiness against functional-safety, safety-of-the-intended-functionality, privacy, and human-machine-interface requirements is proposed.
Karen H. L. Tso· Australian Journal of Busine...· 0 citations
Using SAFERELBENCH to evaluate seven open- and closed-source VLM-driven embodied agents, this work finds a substantial gap between task success and process-level safety compliance, and shows that safe embodied intelligence requires not only stronger perception and planning, but also reliable reasoning about how object...
Huaigang Yang, Ya Li, Min Ren et al.· arXiv.org· 1 citation
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.