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From Motion to Foresight: The Science Behind Next-Gen Vision-Based Ergonomics Risk Assessments

Musculoskeletal disorder (MSD) risk assessments are being radically reshaped by breakthroughs in 3D computer vision, AI-driven joint-angle measurement, and industry-specific human motion datasets. In this webinar, safety and operations leaders will discover how VelocityEHS is redefining ergonomics-related injury risk detection with laboratory-validated accuracy and real-world scalability.

Traditional ergonomics assessments struggle with subjectivity, inconsistency, and limited scalability. However, research demonstrates that Velocity’s 3D model trained on a unique, industry-specific dataset dramatically improves angle estimation accuracy, outperforming published benchmarks to provide the reliability and repeatability that organizations need to scale their ergonomics process effectively.

During this session, Certified Professional Ergonomist Blake McGowan will be joined by Leyang Wen, Machine Learning Researcher at the University of Michigan, to provide insights into:

• Why generic AI pose datasets fail in industrial environments, and how tailored 3D datasets dramatically improve accuracy.
• How VelocityEHS built a best-in-class computer vision pipeline capable of extracting 22 joint angles essential for ergonomics-related injury risk assessment.
• The financial and operational impact of AI-enhanced ergonomics, including reduced analysis time, improved consistency, and scalable risk identification.
• How organizations can leverage this technology to scale ergonomics-related injury risk assessments, improve intervention targeting, and reduce MSDs at speed.

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