AI / ML & Computer Vision
CT Garud CT Flow Builder CT OCR / OCV CT Mikha Anomaly Detection BCFHS Vision Measurement Process Check EOL Inspection All vision →
IoT & Smart Factory
Production-Line Tracking EHS / Safety Tracker OEE & Condition Monitoring Digital Dashboards (DMS) NCMS CPAS All IoT →
AI CCTV Monitoring System For OEMs — Ship Under Your Brand Engineering & Machine Building OMR — Exam & Form Scanning Vaarnaap — Weight Management System Our Work Case Studies Services About Careers Contact
Reference
Industry 4.0 — Where to Start IT & OT — Network & Data Request an Assessment →
Request an Assessment
Vision Metal & Steel AnomalySegmentation

Surface Finish Inspection

Evaluates surface quality on manufactured products — scratches, stains, discoloration, dents, and texture inconsistencies in real time.

Surface Finish Inspection
Learned-good
no defect labels

/ The Challenge

Cosmetic surface defects on metal and plastic drove customer rejections but grading by eye was hopelessly inconsistent.

/ What We Deployed

Anomaly models grade every surface against learned-good texture, catching scratches, stains, and dents at production pace.

/ The Results

  • Objective surface grading
  • Consistent across shifts
  • Customer cosmetic rejections cut

/ Get Started

Have a Similar Problem?

Send us your part and inspection challenge. We'll tell you whether it is reliably detectable, and show measured results on a trial where it is.

Request an Assessment → See Case Studies