DEEPHOW + FOXCONN + NVIDIA

Foxconn Boosts Throughput with DeepHow's Live SOP Verification

How the world’s largest contract electronics manufacturer improved SOP adherence and First Pass Yield by applying physical AI to operations.

Meeting Production Demand by Validating Operator Actions

Powered by NVIDIA Cosmos and NVIDIA Metropolis VSS Blueprint, Foxconn deployed DeepHow's Live SOP Verification to detect procedural drift in real time, improve SOP adherence, reduce rework and deliver a 3% improvement in First Pass Yield.
INDUSTRY
Electronics Manufacturing
CAPABILITIES
Live SOP Verification
CHALLENGE
As demand for accelerated computing infrastructure continues to grow, manufacturing consistency, throughput, quality, and supply chain execution have become increasingly critical. Traditional quality checks often rely on manual observation, periodic audits, and end-of-line inspection, making it difficult to catch procedural drift as it happens.
SOLUTION
Within Foxconn’s manufacturing plant, DeepHow’s Live SOP Verification, powered by NVIDIA, ensures more consistent process execution by comparing real-world operator activity against approved procedures. Deviations can be identified and addressed in the moment, before they affect first pass yield, create rework, or become downstream quality issues.

THE RESULTS

99%
Task-Level Accuracy
Extremely accurate in its determination of both correct and incorrect micro-actions
96%
Recall
Rarely claimed an action was correct that wasn’t
99%
Precision
Almost never flagged/missidentified a wrong step that wasn’t
+3%
First Pass Yield
Motivating SOP adherence led to fewer quality issues
A STRATEGIC PARTNERSHIP

Delivering Foxconn, NVIDIA, and DeepHow Objectives

The engagement between Foxconn, NVIDIA and DeepHow represents a major step forward for manufacturing AI.  It supports NVIDIA’s broader supply chain excellence initiatives by applying AI to the execution layer of operations to improve quality, productivity, and delivery performance.
At Foxconn, it supports their F3.0 transformation, enabling operational excellence, intelligence-driven growth, and platform value creation with their focus on delivering physical AI technologies that ensures operators follow approved procedures and surfacing deviations where, when, and how often they happen.
NVIDIA, Foxconn, and DeepHow are closing the loop between process standards, real-time execution, and operational outcomes.
THE OPPORTUNITY

Stopping Mistakes Before They Become Quality Issues

Foxconn operates with exceptional precision, scale, and discipline. As part of its continued commitment to operational excellence and continuous improvement, Foxconn sought new ways to improve quality and First Pass Yield by strengthening SOP adherence through greater execution visibility, real time verification, and standardized execution at scale.

Greater Execution Visibility
Periodic audits and end-of-line inspection don’t show where small execution differences occur during live production.
Verify as the Operator Works
Operators follow complex procedures on fast-moving lines, where even the best operator can make a mistake during their shift.
Standardize Execution at Scale
Even small variations in SOP execution can create meaningful opportunities for improvement when multiplied across high value products.

"Manual observation and end-of-line inspection identify defects after they've already moved downstream — rarely revealing the execution issues that caused them."

VERIFY WORK BEFORE QUALITY IS AT RISK

Physical AI brings execution visibility into the moment of work, giving teams the ability to verify, correct, and improve SOP adherence as production happens.

MEASURED OUTCOMES

What Foxconn Achieved With DeepHow

Deployed inside a Foxconn manufacturing facility, Live SOP Verification delivered immediate, measurable impact.

Capture
Cameras observe every operator action — no sensorsor wearables needed.
Understand
NVIDIA Cosmos interprets each micro-action andunderstands sequence in context.
Verify
DeepHow compares execution against the approvedSOP step by step.
Act
Real-time alerts and searchable records for supervisorsand quality teams.
DEEPHOW'S LIVE SOP VERIFICATION

Validating Execution In Real Time

DeepHow’s Live SOP Verification uses physical AI to confirm operators follow approved procedures in real time, catching deviations before they become quality issues, rework, or production delays.

Physical AI
Understand actions, procedural sequence, and reason.
Powered with NVIDIA
Uses Cosmos Reason and NVIDIA VSS Blueprint
Deviation Detection
Flags missed or incorrect steps instantly for the operator.
Real Time Verification
Confirms correct and incorrect actions in the moment.
Continuous improvement
Provides visibility of execution data for operational leaders.
Quality and FPY improvement
Highlight mistakes to prevent rework and quality issues.

See Live SOP Verification in Action

See how DeepHow and NVIDIA are helping manufacturers like Foxconn verify execution, reduce variation, and avoid quality issues — in real time.

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