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AI and Digital Twin Technology Set to Transform Worker Safety in Industrial Environments

Scientists worldwide are researching a new way to assess employee safety in factories (not excluding those that manufacture gas or oil). Worker safety monitoring has been given an impetus by deploying Human Digital Twin (HDT) technologies and AI methods of a higher order. The research aims to establish a system for monitoring activities where workers …

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AI and RNNs: A Breakthrough in Preventing Falls in the Construction Industry

“Fall accidents have been a huge problem for the construction industry for many years, leading to the need for solutions. Researchers have used technologies like inertial sensors to develop new methods for recognizing falls and slips. However, inconsistencies and false alarms have been significant issues in real-world testing.” Researchers introduced advanced artificial intelligence (AI) technologies …

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Innovative Solutions Harnessing Technology Aim to Enhance Construction Site Safety

Researchers are exploring innovative approaches to improve safety at construction sites amidst numerous risks and injuries. The IoT devices integration and advanced technologies like computer vision, big data, and AI have sparked significant interest in enhancing safety measures. While studies have investigated the IoT and ultra-wideband communication usage for tracking worker locations and avoiding collisions, …

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Enhancing Construction Site Safety ThroughAI-Powered Safety Risk Factor Recognition

You can use different individual or collective methods to keep workers safe on construction sites. Some of these recommendations are using personal protective equipment (PPE) such as hard hats, suitable boots, and protective gloves, which workers should use personally. Or, in another measure, a regular safety program can be prepared for the entire complex and …

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