Learn how AI is being used in the HSE field
Artificial intelligence (AI) has advanced many fields of expertise and Health, Safety, and Environment (HSE) is no different. AI delivers benefits not only to the organization but also to the HSE professionals and the employees responsible for collecting the HSE data. AI can be used to enhance processes and improve overall safety.
Here are six types of AI being used in the HSE field:
- Machine Learning: AI is used to analyze large amounts of historical data related to incidents, accidents, and near misses to identify patterns and categorize safety risks. By analyzing these patterns, AI can help identify potential hazards and help to introduce preventive measures.
- Natural Language Processing (NLP): NLP enables machines to understand and analyze human language. In the HSE field, NLP can be used to process large volumes of text data, such as incident reports, safety manuals, and regulations. It helps in extracting valuable insights, identifying trends, and improving risk assessment.
- Computer Vision: Computer vision technology utilizes AI algorithms to analyze visual data from images and videos. In HSE, computer vision can be used for various applications such as monitoring worksites for safety compliance, identifying unsafe behaviors or conditions, and detecting anomalies or potential hazards in real-time.
- Robotics and Automation: AI-powered robots and automation systems are being used to perform hazardous tasks, reducing human exposure to risks. Robots can be employed for inspections, maintenance, and handling dangerous materials, allowing for safer and more efficient operations.
- Decision Support Systems: AI-based decision support systems help in risk assessment and decision-making processes by analyzing complex data sets. They can provide real-time recommendations, suggest preventive actions, and support incident investigations, enabling organizations to make informed HSE decisions.
- Wearables and IoT (Internet of Things) Devices: AI is used in conjunction with wearables and IoT devices to monitor workers' health and safety in real-time. These devices can track vital signs, detect fatigue or stress levels, and alert workers and supervisors in case of emergencies or potential health hazards.
Working together with AI systems helps to ensure effective implementation and to address any possible ethical or privacy considerations. Are you ready to learn how your organization can harness the benefits of AI? Synergi Life customers can now take advantage of the machine learning tool, Cato, that helps to categorize large data sets. In customer trials, it has increased data accuracy and improved the user experience thanks to fewer data fields needed to be completed. Contact DNV today and find out how AI can support your organization.