AI ServicesCase study

Automated Surface Inspection

A cement manufacturer relied on manual inspection for surface defects in production. The process was time-consuming, inconsistent, and prone to human error, leading to quality issues and customer complaints.

Client contextA cement manufacturing organisation
Automated manufacturing inspection equipment
Focused delivery across people, process, and technology.
01

Challenge

  • Manual inspection
  • Inconsistent defect review
  • Quality-control needs
02

Solution

  • Surface anomaly detection
  • AI decision guidance
  • Defect classification
03

Outcome

  • Preventative-maintenance support

Approved outcomes

65%reduced inspection time
96%defect detection accuracy
78%manual inspection comparison
25%reduced unplanned downtime

Technology stack

OpenCVPyTorchAzure Machine LearningAzure IoT Edge

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