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Manufacturing Solution

Quality Inspection
Automation

Coordinate humanoids and vision systems for visual inspection, dimensional measurement, and defect detection across production lines. AI-powered classification with full compliance audit trail.

How it works

Inspection pipeline

Miradoris orchestrates the full inspection workflow from part arrival through classification and logging. Humanoids handle part positioning, cameras capture multi-angle images, AI models classify results, and the platform logs everything for compliance.

Unlike fixed AOI systems, humanoid-based inspection adapts to new parts without physical retooling. Change the inspection program and the humanoid adjusts its positioning strategy automatically.

Inspection Pipeline
1
Part arrives
Conveyor or humanoid delivery
2
Visual scan
Humanoid + multi-angle camera
3
Measurement check
CMM or laser scanner
4
AI classification
Pass / Fail / Review
5
Result logging
Full audit record
Communication

System integration

Vision Systems

GigE Vision / GenICam

Camera feeds and image processing integration for multi-angle visual inspection with AI-powered defect detection.

Measurement Devices

DMIS / REST

Coordinate measuring machines, laser scanners, and dimensional gauges for tolerance verification.

Humanoid Positioning

ROS 2 / REST

Precise part manipulation and positioning commands for optimal inspection angles and measurement access points.

Data Pipeline

MQTT / REST

Inspection results streamed to MES, ERP, and reporting systems for quality tracking and compliance.

Capabilities

Inspection capabilities

Multi-angle visual inspection

Humanoids position parts for optimal camera angles. AI models analyze images for surface defects, cosmetic issues, and assembly errors.

Dimensional tolerance verification

Automated measurement against CAD specifications. Out-of-tolerance dimensions are flagged with deviation magnitude and direction.

Surface defect classification

AI classifies defects by type, severity, and probable cause. Models improve over time as they process more inspection data.

Statistical process control

Track quality metrics over time to identify trends, predict failures, and trigger preventive actions before defect rates increase.

Automated reject routing

Failed parts are automatically routed to rework stations or rejection bins. Routing rules are configurable by defect type and severity.

Inspection report generation

Comprehensive reports with images, measurements, classification results, and trend data. Exportable for compliance documentation.

Comparison

Approach analysis

Manual Human Inspection

Strengths
No technology investment
Human judgment for edge cases
Flexible and adaptive
Limitations
Fatigue reduces accuracy over shifts
Inconsistent between inspectors
Cannot process high volumes
Limited documentation for compliance

Fixed Automation (AOI)

Strengths
High speed for standard parts
Consistent and repeatable
Proven in electronics manufacturing
Limitations
Expensive retooling for new parts
Fixed inspection angles only
No spatial awareness
Cannot adapt without reprogramming

Miradoris

Recommended
Strengths
Flexible humanoid-based positioning
AI classification adapts to new parts
Multi-angle inspection without retooling
Full SPC and compliance reporting
Integrated with production workflow
FAQ

Frequently asked questions

Can Miradoris integrate with existing vision systems?

Yes. The platform supports standard industrial vision protocols including GigE Vision and GenICam. Existing camera hardware can be integrated without replacement. AI classification models run on the Miradoris platform and process feeds from connected cameras.

How does AI defect classification work?

Inspection images are processed by trained classification models that identify defect types, locations, and severity. Models are trained on your specific product data and improve continuously as more inspection results are collected and validated.

What inspection accuracy can be achieved?

Accuracy depends on the defect type, camera resolution, and training data quality. Typical deployments achieve classification accuracy above 95% for trained defect categories. Human-in-the-loop review is available for borderline cases.

Can inspection criteria change without reprogramming?

Yes. Inspection criteria are defined as configuration, not code. New tolerance ranges, defect categories, and classification rules can be updated through the platform interface. AI models can be retrained on new product data without downtime.

How are inspection results reported?

Results are available in real-time dashboards, scheduled reports, and on-demand exports. Reports include images, measurements, classification results, and SPC charts. Data is exportable as PDF, CSV, or through API endpoints.

Does the system support regulatory compliance?

Yes. Every inspection event is logged with full context including part identity, inspector (human or robot), measurements, classification results, and timestamps. This audit trail supports ISO 9001, IATF 16949, and other quality management standards.

Be among the first

We are looking for partners willing to test Miradoris in real operational environments. Early adopters get priority access to the platform at significantly reduced rates.

We'll review your request and follow up. No unsolicited contact.