Manufacturing-Grade Data for Computer Vision
Eliminate the data scarcity bottleneck with physically simulated defect datasets. Train assembly line robotics to detect real-world failures that occur once in a thousand units.
The Problem
Modern manufacturing faces a critical challenge with computer vision AI
Class Imbalance
Production lines yield millions of perfect units but almost zero images of defects. Models trained on this imbalanced data fail in the real world.
The Synthetic Gap
CGI and Unity simulations fail to accurately model how light refracts off scratches, chrome, glass, and clear plastic—physics matter.
False Positives
Without diverse defect training data, models confuse harmless reflections with critical flaws, causing costly false positives and line stoppages.
Our Solution
Physically simulated defects captured with real sensors under controlled conditions
Ground Truth Data
We don't use CGI or 3D rendering. We physically stress real-world industrial components to create authentic defects, capturing them with high-fidelity sensors under varying lighting conditions.
Real Photons, Real Sensors
Not simulations—authentic light physics
4K Resolution
3840×2160 minimum for edge device conditions
100% Owned IP
Perpetual royalty-free commercial license
Production-Ready Labels
YOLO and COCO format ground truth bounding boxes
Manufacturing-Grade Datasets
Photons hitting real sensors
Real-World Applications
How industry leaders solved critical computer vision challenges with manufacturing-grade datasets tailored to their specific use cases
EV Battery Welds
The Challenge
Electric vehicle batteries require thousands of tiny welds. Chrome-plated welds create intense "specular highlights" (white glare) that confuse AI models trained on synthetic data.
Our Custom Dataset
Custom dataset of high-reflectivity welds photographed under harsh lighting conditions to create "hard negatives" that teach AI to ignore reflections.
Deliverables: 1,000+ units | 6+ lighting conditions | 4 defect categories
Results
Models trained on real-world glare data achieve 95%+ accuracy on reflection scenarios
1 / 6
Custom Manufacturing Datasets
We don't build one-size-fits-all datasets. Every project is engineered for your specific manufacturing process, materials, and quality standards.
Your Proprietary Use Case
We build datasets for your specific manufactured item and quality parameters
Ready to build a dataset for your specific use case?
Technical Specifications
Enterprise-grade quality and compliance standards
Image Resolution
4K minimum (3840×2160) for production-line accuracy
Sensor Types
High-fidelity mirrorless and thermal sensors for edge devices
Lighting Setup
6500K diffused LED + directional spotlights for stress testing
Ground Truth Labels
YOLO and COCO format bounding boxes with pixel precision
Intellectual Property
100% owned. Perpetual royalty-free commercial license.
Privacy Compliance
Zero GDPR/privacy risks—inanimate objects only
Flexible Licensing
From proof of concept to full enterprise deployment
The Pilot Pack
Proof of Concept
One-time license
- 1,000 Images
- 500 Perfect / 500 Defect
- Single Object Type
- Ground Truth Labels
The Benchmark Suite
Model Training
One-time license
- 5,000 Images
- 5 Distinct Object Types
- Hard Negatives & Occlusions
- Production-Ready Labels
Custom Lab
Enterprise Solutions
Your proprietary components
- Ship Your Parts
- Custom Failure Modes
- Exclusive Ownership
- Data Deletion Guarantee
Ready to Eliminate Data Scarcity?
Test our Spark Plug dataset against your current model. See how ground truth data improves recall on hard-to-detect defects.