MANUFACTURING (PRECISION MACHINING, ENGINE COMPONENTS) CASE STUDY

Cut defects by 60% for a precision engine parts manufacturer

Delivered an AI vision inspection system for dual-bore components, tightly integrated with MES + SCADA for automated quality control.

99.5% accuracy
60% fewer defects
20% higher throughput

Manufacturing (precision machining, engine components) Case Study

THE CHALLENGE

What was holding them back

Operational pain

Manual dual-bore inspections were slow and inconsistent.

Business risk

Higher defect escape risk threatened quality standards and rework costs.

Why tools failed

Sampling and manual checks could not scale with dual-bore complexity.

CLIENT SNAPSHOT

About the client

Industry Manufacturing (precision machining, engine components)
Geography India
Service AI & Automation
Existing Tools MES + SCADA + manual QC checks (sampling + operator-led inspections)

THE SOLUTION

Our Manufacturing (precision machining, engine components) Solution

AI Vision Inspection for Dual-Bore Parts

  • Automated defect detection with consistent pass/fail decisions.
  • Image-based evidence captured per part for verification.
01

MES-Triggered Quality Workflow Automation

  • Vision events automatically create/route MES work orders (hold, rework, accept).
  • Inspection results linked to work orders for faster disposition.
02

SCADA + Line Handshake Integration

  • Real-time station signals synced with inspection outcomes.
  • Status visibility to reduce delays and prevent bottlenecks.
03

Quality Traceability by Design

  • Part-level history: decision, timestamp, station, and proof images.
  • Standardized defect tagging to reduce operator subjectivity.
04

Production-Friendly Deployment

  • Inline automation built to match takt time requirements.
  • Monitoring and tuning loop to sustain accuracy over shifts.
05

THE IMPACT

Measurable Results

100%

Coverage

Every unit inspected, no sampling gaps

99.5%

Accuracy

Reliable defect detection at line speed

60%

Reduction

Fewer defects escaping to next stage

400+

Hours Saved

Manual inspection effort eliminated

20%

Increase

Higher throughput with fewer slowdowns

6-

Week Time-to-Value

Typical pilot-to-production benchmark

TECH STACK

Technologies Used

AI Vision
MES
SCADA
IIoT