A leading global electronics manufacturer needed stronger SOP adherence during a critical process where small deviations were driving scrap and FPY loss.
By deploying DeepHow's Live AI SOP Adherence, the company gained real-time visibility into how work was actually performed. The system automatically monitored operator actions, detected deviations from defined procedures, and reinforced standardized execution across the production line.
The result was improved process consistency, reduced variation, and measurable improvements in production quality.
The manufacturer deployed DeepHow's Live AI SOP Adherence, a Physical AI capability that verifies whether procedures are followed correctly during production. Using Visual Language Models (VLMs) and computer vision, the system observes technician actions and compares them against defined SOP steps.
This allows the platform to:
• Detect whether required steps are completed
• Verify the correct sequence of tasks
• Identify deviations from standard work
• Provide supervisors with operational insight into technician execution
Unlike traditional monitoring tools, Physical AI enables software to understand what work is actually happening in the physical environment. By combining operational knowledge with AI verification, DeepHow ensures compliance with standards and improves safety, quality, and operational performance.
The deployment delivered measurable operational insight and strengthened execution consistency.
95% task-level accuracy
AI detection accurately identified individual SOP step execution.
86% recall across production workflows
The system consistently detected critical technician actions during complex procedures.
90% cycle-level accuracy
Physical AI monitoring provided reliable insight into the completion of the full procedure.
2% improvement in First Pass Yield
By reinforcing standardized work and reducing variation in task execution.
DeepHow enabled real-time monitoring of operator actions, standardizing execution while improving process consistency and verification.
Manufacturers have long relied on documentation and periodic observation to enforce standard work. However, these approaches provide limited visibility into how tasks are actually performed during production. Physical AI can perceive actions and apply reasoning based on the motions it observes. This introduces a new capability: continuous observation and interpretation of human work in operational environments. When applied with DeepHow's platform,
When applied with DeepHow's platform his allows manufacturers to:
• Verify SOP adherence during execution
• Identify sources of process variation
• Reinforce standardized work across operators and shifts
• Improve quality and operational consistency
For this electronics manufacturer, Physical AI enabled a scalable approach to ensuring procedures were executed consistently while supporting continuous operational improvement. It revealed hidden mistakes and procedural drift of operators that were leading to scrap and rework.
See how manufacturers are using Physical AI to verify execution, reduce operational variation, and improve production performance.
Request a Demo
