A model designed to identify safety hazards based on construction workers' compliance with wearing PPE during working hours and its integration of four components of PPE, its practical application for mobile usage, and a secure model against adversarial attacks are presented.
Artificial intelligence, when responsibly implemented, represents a transformative adjunct to traditional safety practices – capable of significantly improving construction site safety performance globally – but it must be deployed in tandem with organizational commitment, worker training, and robust safety cultures.
M. Al-Thubaiti, Saeed S. Al-Shahrani, Ryan A. Alsaihaty· World Journal of Advanced En...· 0 citations
Real-time detection of damage in roadside crash barriers is vital for maintaining highway safety and enabling data-driven infrastructure management. Manual inspection methods are labor-intensive and impractical over long highway stretches. This paper presents a real-time unsupervised anomaly-detection framework based o...
D. Varshney, Avnish Panwar, Indrajit Ghosh· International Conference on...· 0 citations
Damages on road surfaces like potholes and cracks influence roads safety, automobile performance, efficiency of transportation. The old fashioned road inspection systems are based on the use of manual survey, which is time consuming, expensive and not acceptable in continuous monitoring. In addition, most of the curren...
Kavithra I, G. S· International Conference Com...· 0 citations
This project presents an automated road damage detection system that uses Unmanned Aerial Vehicle images and deep learning techniques to identify defects such as cracks and potholes, demonstrating that UAV-assisted deep learning offers a reliable and efficient solution for modern road infrastructure maintenance and sup...
Aelaboina sai sruthi, G. C. Rao· American Journal of AI Cyber...· 0 citations
ADS-Guard, a novel Adversarial Detection and Sanitization (ADS) framework rooted in sequence-to-sequence autoencoder purification, is proposed, providing a practical retraining-free defense that can be integrated with existing occupancy-detection systems without modifying downstream classifiers.
Pratiksha Chaudhari, Yang Xiao, Wei Sun· Italian National Conference...· 0 citations
Workplaces in construction and industry suffer from a significant number of workplace accidents because of a lack of safety mechanisms like helmets and high-visibility vests. In order to solve this issue, an automatic detection system for detecting the presence of the worker's helmet & safety vest using a deep learning...
S. Vijayakumar, Loganathan Nachimuthu, Balasubramaniam C et al.· 2026 International Conferenc...· 0 citations
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