NTT DATA and Hyster-Yale Launch Physical AI Application
NTT DATA (NTDTY) and Hyster-Yale Materials Handling (HY) announced a breakthrough application of physical AI that embeds intelligence directly into manufacturing processes. This approach leverages sensor data to enable machines and systems to perceive, understand and act in real time within real-world operations. Bringing this capability into practice introduces AI-driven quality assurance directly into HYMH's manufacturing operations. This co-developed approach represents a first-of-its-kind use case of how physical AI can be applied in an industrial assembly environment by embedding intelligence into production workflows, helping to safeguard that products are built to consistently high standards. NTT DATA designed and developed the solution at HYMH's manufacturing facility in Berea, KY, integrating vision sensors, edge AI that processes data on-site and advanced analytics into a critical assembly workflow. Together with partner Archetype AI, NTT DATA, in collaboration with HYMH, adapted a physical AI model that analyzes assembly activity against expected production steps, validating that all parts are installed and that assembly stages are completed, flagging deviations before the product moves to the next stage. By validating quality throughout the assembly process, the solution helps identify and address potential issues before products leave the factory floor.
