AI QUALITY CONTROL
FOR METALLURGY
Camera-based AI quality control: automated dimensional and surface control for nuts, bolts and machined parts. Trigger automatic rejections and monitor from your dashboard.
USE CASES
Real applications that transform your production process
Automatic Rejection System
Detect weld defects, cracks or defective finishes and automatically trigger rejection systems or PLC signals.
AI Dimensional Control
Detect inner/outer diameter variations, incomplete or crushed thread defects, flash and sharp edges. 2D and 3D camera inspection.
Surface Treatment Verification
Verify zinc plating, phosphating and coatings. Detect scratches, dents, oxidation and paint defects on finished parts.
Classification and Mix Detection
Classify parts by type and size. Automatically detect out-of-batch model mixes. Verify complete batches without human intervention.
Real-Time Dashboard
Visualize quality metrics, alerts, defects by type and analytics for your entire production instantly.
Per-Part Traceability
Complete records with photos, automatic reports for certifications and documentation for customers.
KEY BENEFITS
What CondorVision can do for your operation
Less Rework
Automatic rejection system that catches defects before the next process
Fast Inspection
Faster than traditional methods with results visible on dashboard
24/7 Monitoring
Continuous control with automatic alerts, OEE metrics and per-part traceability
INTEGRATION WITH YOUR EQUIPMENT
Not just AI inspection: capture signals from your existing machines and unify everything in one system
Machine Signals
Connect to your existing equipment and capture digital/analog signals without AI
PLC Integration
Direct communication with Siemens, Allen-Bradley, Mitsubishi and other industrial PLCs
Sensors and I/O
Incorporate temperature, pressure, speed and more sensor data into your dashboard
Unified Dashboard
View machine signals + AI visual inspection in one place
AI + Machine Signals = Total Visibility
Combine the power of artificial intelligence with data from your existing PLCs and sensors. One dashboard, one source of truth for your entire operation.
DOES THIS SOUND FAMILIAR?
- Dimensional and thread defects are detected at the customer because you don't have automatic rejection
- You can't automatically detect model or size mixes outside the batch
- Visual inspection depends on the inspector and you don't have a dashboard with metrics
- You can't verify surface treatments automatically and repeatably
- You can't integrate quality control with your PLCs and existing systems
THE SOLUTION
With CondorVision, these problems are solved automatically:
- 24/7 monitoring without human intervention
- Instant problem detection
- Real-time alerts
- Automatic data and metrics
Frequently asked questions
Weld defects (porosity, cracks, splatter, missing weld), surface flaws (scratches, pitting, oxidation), dimensional deviations, and missing or incorrect stamping codes.
RELATED ARTICLES
Guides, comparisons and practical cases to dive deeper into your sector
Weld, Surface and Dimensional Defects: How to Catch Them on the Line
Metallurgy lines run hot, fast and reflective, conditions that defeat traditional machine vision. AI inspection handles all three, catching weld defects, cracks and dimensional deviations on every part. Here's what it actually does and how to deploy it.
6 Hidden Costs in Manufacturing That Eat 25% of Your Revenue
Waste, returns, unplanned downtime: the costs you do not see on your production floor can represent up to 25% of revenue. Learn how to identify and eliminate them with real data.
Industry 4.0: Plants Without Real-Time Data Lose 18% Productivity
In many plants, production moves forward without real data. Cycle times aren't measured, micro-stops go undetected, and problems surface when it's already too late. Industry 4.0 changes that.
READY FOR TOP-TIER METALLURGICAL QUALITY?
Schedule a demo and we'll show you how to integrate AI dimensional control, automatic rejections and dashboards in your metallurgical plant.