AI visual inspection that catches what humans miss
Computer vision systems for automated defect detection on production lines and infrastructure assets. Real-time inspection at production speed, consistent quality standards, and automatic severity classification.
Manual inspection cannot keep up with production speed or asset scale
Human inspectors on production lines catch roughly 80% of defects on a good day. Fatigue, shift changes, and lighting conditions make consistency impossible. For infrastructure assets (transmission lines, solar panels), physical inspection is slow, dangerous, and expensive. You cannot scale manual inspection to match your production volume or asset portfolio growth.
80%
Defect catch rate for human inspectors (best case)
95%+
Defect detection accuracy achievable with vision AI
10x
Faster inspection coverage with AI vs manual
24/7
Consistent inspection quality without fatigue
How Optivus builds AI visual inspection systems
We build computer vision systems that inspect products on production lines and infrastructure assets from drone or camera imagery. The systems detect defects, classify severity, and alert your quality or maintenance teams in real time.
Define defect taxonomy
Catalog the defect types you need to detect: surface defects, dimensional issues, assembly errors, structural damage. Collect labeled examples.
Train vision models
Train computer vision models on your specific defects and products. Iterate until detection accuracy meets your quality standards.
Deploy on your infrastructure
Integrate with existing cameras, add new cameras where needed, or process drone imagery. Edge deployment for low-latency inline inspection.
Monitor and improve
Track detection rates, false positive rates, and missed defects. Continuously improve models with new examples.
Key capabilities
Production line inspection
Real-time defect detection at production speed. Surface defects, dimensional variations, assembly errors, and cosmetic issues.
Infrastructure asset inspection
Analyze drone and camera imagery of transmission lines, solar panels, buildings, and other infrastructure for defects and deterioration.
Severity classification
Defects automatically classified by type and severity. Critical defects trigger immediate alerts. Minor issues logged for trending.
Edge deployment
Run vision AI models on edge devices for low-latency, inline inspection. No cloud round-trip delay for production line decisions.
Existing camera integration
Works with your existing camera systems where possible. Recommendations for new cameras only where existing coverage is insufficient.
Continuous model improvement
Models improve over time as they process more examples. New defect types can be added without rebuilding the entire system.
Results you can expect
95%+
Defect detection accuracy
10x
Faster inspection coverage vs manual
24/7
Consistent quality without inspector fatigue
Real-time
Detection at production line speed
Real deployment
Vision AI for power sector infrastructure inspection
Infrastructure & Energy
The problem
A power sector infrastructure trust needed to scale asset inspection across a growing portfolio of transmission lines and substations. Manual inspection could not keep pace.
What we built
Deployed vision AI systems for automated defect detection on transmission infrastructure using drone imagery. The system detects corrosion, structural damage, and vegetation encroachment, classifying each by severity.
Results
Faster inspection coverage
Defect severity classification
Deployed and operational
Our AI implementation process
Every engagement follows the same four-phase structure.
Scope
Map the workflow, define success criteria, lock deliverables.
Build
Weekly working demos. Direct channel with the build team.
Ship
Production deployment on your cloud with monitoring.
Scale
Optimize on real usage. Expand to adjacent workflows.
Frequently asked questions
Related solutions
For your industry
Ready to get started?
Book a 25-minute call. Bring your workflow and we will show you exactly how we would approach it.