Simulate Rare Defects, Enrich Training Data
GenX - Improve Inspection
Accuracy with Generative AI
Elevate Automated
Inspection with GenX
Discover how synthetic defects images help to train AI for inspection
Accuracy
Reduce false detection rate up to 9X by training on representative synthetic defect images of random complex defects.
Model Development
Quickly build robust detection models by generating defect images with as few as 3 real images per defect.
Application
Designed for part change-overs and adapts rapidly for high-mix production
How It Works
From uploading sample images to deploying accurate AI
models, GenX simplifies every step.
Tailored Solutions
for Broad Manufacturing Industries
rom uploading sample images to deploying accurate AI
models, GenX simplifies every step.
Gear
Defect Type: Chip
Description: This is a chip defect that appears on industrial metal gears, with distinct depth characteristics.
Training samples: 3
Result: Generate realistic damage defects on OK images while fully preserving the depth characteristic.
Data collection time save: 3 months → 24 hours.
Auto Parts
Industry/Product: Automotive /Auto Parts
Defect: Burr
Description: A type of protrusion on metal surfaces with slightly reflective properties and small dimensions.
Training samples: 2
Result: Generate realistic damage defects on OK images while fully preserving the depth characteristics.
Data collection time save: 3 months → 24 hours.
Casting Machined
Description: A type of defect in metal castings characterized by small indentation holes or voids on the surface, typically with a certain depth.
Training samples: 2
Result: Generate realistic damage defects on OK images while fully preserving the depth characteristics.
Data collection time save: 1.5 months → 24 hours.
Battery Cell
Defect: Pinhole
Description: A type of wear on the metal surface weld, appearing white in color and clearly distinguishable from the background.
Training samples: 1
Result: Generate realistic damage defects on OK images while fully preserving the depth characteristics.
Data collection time save: 2 months → 24 hours.
Battery Top Cover
Defect: Cold Solder Joint
Description: A type of cold solder joint and solder slag in the weld path of the top cover. When the defect is subtle, it can be difficult to distinguish from the background weld.
Training samples: 3
Result: Generate realistic damage defects on OK images while fully preserving the depth characteristics.
Data collection time save: 1.5 months → 24 hours.
Pouch Battery
Description: A type of thin, elongated scratch on the soft pack battery surface, where the defect typically appears as white streaks.
Training samples: 3
Result: Generate realistic damage defects on OK images while fully preserving the depth characteristics.
Data collection time save: 2 months → 24 hours.
Electrical Cap Connector
Description: A type of scratch on the metal pins of the connector. This defect reflects light at specific angles and is relatively small in size.
Training samples: 3
Result: Generate realistic damage defects on OK images while fully preserving the depth characteristics.
Data collection time save: 2 months → 24 hours.
Piston
Description: A type of impact damage on the metal piston surface, with varying defect shapes and depth characteristics.
Training samples:
Result: Generate realistic damage defects on OK images while fully preserving the depth characteristics.
Data collection time save: 2 months → 24 hours.
Aluminum Can
Description: A type of pit on the aluminum can surface. This defect is a structural defect that also reflects light.
Training samples: 3
Result: Generate realistic damage defects on OK images while fully preserving the depth characteristics.
Data collection time save: 15 days → 24 hours.
Blade
Defect Type: Breakage
Description: A type of wear and impact damage on the metal blade surface, with defects that are overall very small and irregular in shape.
Training samples: 3
Result: Generate realistic damage defects on OK images while fully preserving the depth characteristics.
Data collection time save: 1 month → 24 hours.
Watch Band
Description: Extremely tiny black dirt particles on the silicone watch strap, characterized by their small size and variable shapes.
Training samples: 2
Result: Generate realistic damage defects on OK images while fully preserving the depth characteristics.
Data collection time save: 1 month → 24 hours.
Laptop Back Cover
Description: A type of scratch on the laptop’s metal casing. This defect is extremely fine and difficult to detect.
Training samples: 1
Result: Generate realistic damage defects on OK images while fully preserving the depth characteristics.
Data collection time save: 1.5 months → 24 hours.
What Our Clients Say
GenX helped us reduce our false detection rate, which has been a game-changer for our quality control process. The ability to generate realistic defect samples has dramatically improved our inspection accuracy and shorten a time for project delivery.
Project Manager
Automotive Manufacture
We went from spending months collecting defect samples to getting our AI model up and running with just 3 real images. GenX has completely transformed how we approach rare defect detections in our high quality control system.
Inline Quality control manager
Mobile Phone Manufacture
By using GenX, we achieved inline inspection with industry-leading accuracy, even for rare defects. The smart labeling and synthetic data generation made AI model training seamless and cost-effective.
Manufacturing Innovation Manager
Packaging Industry
Elevating Quality Across Industries
Quantified Results with GenX
9X: Lower escape rate
Achieved 9X better escape rate across
diverse industries.
3X: Faster deployment
System deployment time sped up by 3X,
with full integration in under one week.
3 Samples: Training Efficiency
Create accurate AI models from
just 3 defect samples.
30%: Faster ROI
Save up to 30% on inspection-related costs within the first quarter.
Flexible Pricing for Every Need
- Free trial with 3 jobs
- 1 job generate images for 1 pattern type on 1 item
- Generate 50 images for the 1 job
- Receive results in approx. 24 hours
- Standard support (email only)
- Volume discounts
- Receive results in rapid SLA
- Prioritized AI training
- Run up to 4 jobs at a time
- Priority phone support with a dedicated account manager
- Unlimited AI-generated defect images per month
- Dedicated AI model customization for specific manufacturing needs
- Real-time defect detection & reporting with advanced analytics
- On-premise or private cloud deployment for full data control
- Multi-site integration with enterprise PLC, MES & ERP systems
- Custom API & SDK access for seamless automation
- 24/7 priority support with a dedicated account manager
- AI-powered predictive maintenance insights
Frequently Asked Questions
info@unitxlabs.com
3930 Freedom Cir, Suite 130,
Santa Clara, CA 95054, USA