DeepHow Time and Motion AI Deployed Across Yazaki North America Production Lines

DeepHow announced on July 17 that it has reached an agreement with Yazaki North America to deploy its Time and Motion AI solution across the company's production lines. The deployment is being carried out through the ongoing collaboration between DeepHow and NVIDIA, bringing AI-powered manufacturing intelligence into factory operations. The initiative will initially begin in Mexico before expanding to additional global facilities, helping accelerate production analysis while improving visibility into manufacturing performance.

AI-Powered Manufacturing Analysis Enabled by NVIDIA Technologies

The deployment combines DeepHow's agentic AI platform with NVIDIA Metropolis Blueprint for video search and summarization (VSS) and NVIDIA RTX PRO Servers. Together, these technologies provide real-time visibility into manufacturing workflows as production activities occur. Using advanced vision-language models, the platform automatically measures production cycle times while classifying workflow segments across multiple production cycles. This automated approach enables manufacturers to quickly identify value-adding activities as well as opportunities to eliminate operational waste without relying on lengthy manual observations.

New Factory Intelligence Features Improve Operational Insights

DeepHow is also introducing automatic report generation together with Factory Flow Intelligence powered by NVIDIA Cosmos and built using VSS agent skills. These capabilities enhance operational analysis by supporting comparisons between operators, production stations, and standardized work processes. Manufacturing engineers can obtain detailed production insights within minutes rather than spending weeks conducting traditional manual time studies. This significantly accelerates decision-making while providing consistent and data-driven operational intelligence.

Expected Operational Benefits for Yazaki North America

AI-driven production studies substantially reduce the time required to evaluate manufacturing performance while eliminating the inconsistencies commonly associated with manual observation. The technology enables more accurate and real-time assessments of production processes under normal operating conditions.

Expected outcomes from the deployment

• Automated production cycle time measurement
• Workflow segment classification using AI
• Automatic report generation
• Operator and workstation performance comparisons
• Standard-work process analysis
• Faster identification of operational improvements

Deployment Overview

Beginning with manufacturing operations in Mexico, Yazaki North America expects to significantly shorten its production line analysis process, reducing evaluation timelines from weeks to days before expanding the deployment globally. DeepHow, headquartered in Royal Oak, United States, aims to help manufacturers improve operational efficiency through faster, AI-powered production intelligence and standardized workflow analysis.

Frequently Asked Questions

What is the purpose of deploying DeepHow Time and Motion AI at Yazaki North America?
The deployment is designed to automate production workflow analysis using artificial intelligence, replacing time-consuming manual studies with real-time operational insights. By integrating NVIDIA technologies, the platform automatically measures cycle times, classifies workflow activities, generates production reports, and compares operators and workstations. The system enables Yazaki North America to reduce line-analysis time from weeks to days while supporting improved process efficiency, waste reduction, and standardized manufacturing analysis across future global operations.