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AI-Powered Ergonomics: Transforming Industrial Safety

Global organizations struggle to effectively and sustainably manage musculoskeletal disorder (MSD) risks due to the limitations of traditional, manual observation-based ergonomics assessments. These are often time-consuming, resource-intensive, difficult to scale, and potentially unreliable, which hinders proactive risk reduction and impacts overall worker safety and productivity.

This is where the power of VelocityEHS AI and machine learning can be applied to the tools of a musculoskeletal disorder (MSD) risk management system to offer a user-friendly and more reliable option. Using sensorless motion capture models to assess MSD risk factors from a video of a task enables efficient and highly accurate risk evaluation across diverse and complex job functions, eliminating the need for specialized equipment or extensive ergonomics expertise.

During this session, we’ll dive into the science and strategy of leveraging VelocityEHS AI and machine learning technology to enhance your industrial ergonomics program. You’ll learn how it can help you more accurately and with a higher level of fidelity assess the MSD risks in your workplace, identify root causes, and guide your job improvement process. The result can be a scalable ergonomics process that engages and empowers workers in risk reduction, reduces injuries, and provides leadership with clear, reliable data for informed decision-making.

You’ll learn how to:

• Explain the limitations of traditional, manual ergonomics assessments in a large-scale business setting.
• Describe the role of VelocityEHS AI and machine learning in MSD risk management, focusing on how it can improve reliability and accuracy.
• Understand how VelocityEHS AI and machine learning can be used to identify root causes of MSD risks and recommend effective improvements.
• Analyze a real-world case study demonstrating the successful implementation of an ergonomic assessment powered by VelocityEHS AI, identifying key strategies and outcomes.

There are more webinars like this! Register to attend a future event or view an on-demand recording now.