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Smart Safety Helmets with Integrated Vision Systems for Industrial Infrastructure Inspection: A Comprehensive Review
Emmanuel A Merchán-Cruz1, Samuel Moveh1, Oleksandr Pasha2
1Engineering Faculty, Transport and Telecommunication Institute, Lauvas Iela 2, LV-1019 Riga, Latvia.
Sensors (Basel, Switzerland)
|August 14, 2025
Summary
Smart safety helmets with Visual Simultaneous Localization and Mapping (VSLAM) are revolutionizing infrastructure inspection by providing real-time mapping and enhanced worker awareness. These advanced helmets improve efficiency, data quality, and safety in industrial environments.
Area of Science:
- Robotics and Computer Vision
- Industrial Engineering
- Wearable Technology
Background:
- Smart safety helmets integrating vision systems are evolving into sophisticated platforms for industrial infrastructure inspection.
- These systems leverage Visual Simultaneous Localization and Mapping (VSLAM) for environmental mapping and inspector assistance.
Purpose of the Study:
- To conduct a comprehensive state-of-the-art review of VSLAM-enabled smart helmets for infrastructure inspection.
- To analyze the evolution, capabilities, challenges, and future trends of these technologies.
Main Methods:
- Systematic literature search of high-impact journals, patents, and industry reports.
- Classification and comparison of helmet-integrated camera systems (monocular, stereo, omnidirectional).
- Review of VSLAM algorithms, sensor fusion techniques, and processing architectures.
Main Results:
- VSLAM helmets significantly improve inspection efficiency, data quality, and worker safety across various industrial settings.
- Analysis of technical, human factors, and regulatory challenges associated with VSLAM helmet adoption.
- Identification of emerging trends including semantic SLAM, AI defect recognition, and miniaturization.
Conclusions:
- VSLAM-equipped smart helmets offer a transformative approach to infrastructure inspection, enhancing real-time mapping and situational awareness.
- Key research gaps exist in system standardization and integration with asset management.
- Recommendations are provided for industry adoption and future research directions.
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