Computer Vision
In-Line Quality Inspection
Detect defects, verify assembly and check dimensions in real time on the production line. Edge inference, MES integration, retraining loop included.
Quick Answer
NeoBram deploys computer-vision quality inspection on manufacturing lines - real-time defect detection, surface inspection, assembly verification and dimensional gauging using YOLO and SAM2 models on edge GPUs, integrated with your MES so rejects are tracked and root-caused.
Why This Matters
Human Inspection Misses Defects. AI Vision Doesn't.
Human visual inspectors typically achieve 80-90% defect catch rates and degrade across an 8-hour shift. Customer returns and warranty claims from missed defects routinely cost manufacturers 1-3% of revenue.
Modern computer vision combines high-resolution machine-vision cameras, structured lighting and deep learning models that learn from a few hundred labelled images. Catch rates of 98-99.5% are now standard, with sub-100ms cycle times that match line speed.
We deploy production CV systems on your line in 6-10 weeks - cameras, lighting, edge GPU, model training, MES integration and a labelling and retraining loop so the system improves as new defect modes appear. No cloud dependency for inference.
Our Tech Stack
Production-Grade Tools We Deploy
Cameras & optics
Models
Edge inference
Data & MLOps
Integration
Architecture Deep-Dive
How We Build It
Defect & surface inspection
Detect scratches, dents, cracks, contamination, missing features and surface anomalies at line speed across metals, plastics, electronics, glass and textiles.
- 98-99.5% catch rate with <0.5% false-reject rate
- Few-shot anomaly detection for rare defect classes
- Multi-camera 360° inspection of complex parts
- Sub-100ms cycle times to match line takt
Assembly & presence verification
Verify correct components, orientation, fastener presence, label placement and barcode/datamatrix readability before parts leave the cell.
- Presence / absence / orientation verification
- Fastener and connector seating checks
- Label, batch code and datamatrix OCR
- Colour and texture matching
Dimensional gauging
Sub-pixel dimensional measurement with calibrated telecentric optics - SPC-grade gauging without the cost of a dedicated CMM.
- Sub-pixel edge detection with telecentric optics
- Gauge R&R compliant for SPC
- Statistical process control dashboards
- Drift detection on critical dimensions
MES integration & retraining loop
PLC handshake for automatic reject, MES integration for traceability, and a labelling pipeline that retrains models monthly as new defect modes emerge.
- OPC UA / Profinet PLC handshake for reject gates
- Reject and root-cause tracking in MES / SAP QM
- Operator review UI for borderline calls
- Monthly model retraining on new labelled defects
Data Security, Governance & Safety
Enterprise AI demands enterprise-grade security. Every solution we deploy follows strict data sovereignty, safety, and compliance standards.
Data Sovereignty
- Your data stays in your infrastructure - always
- Deploy on your cloud (AWS, Azure, GCP) or on-premise
- No data leaves your environment
- Full compliance with regional data residency requirements
Model Safety & Guardrails
- NVIDIA NeMo Guardrails for content safety
- PII detection and redaction with Presidio
- Prompt injection defense and input sanitization
- Hallucination detection and factual grounding
Access Control & Audit
- Role-based access control for all AI systems
- Immutable audit logs for every interaction
- SOC 2 Type II, ISO 27001 compliance frameworks
- GDPR, HIPAA, and industry-specific regulations
Responsible AI
- Bias testing with Fairlearn and AI Fairness 360
- Model explainability via SHAP and LIME
- Transparency reports for stakeholders
- Continuous fairness monitoring in production
FAQ
Frequently Asked Questions
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