Lincode Intelligent
Visual Inspection System
AI-Powered Visual Inspection, No-Code Platform, Data-Driven Insights
Never miss a defect
even at full line speed
Works with what you already have
start in days, not months
Keep lines running, deliveries on time,
customers satisfied
All-in-One AI Visual Inspection Platform
LIVIS (Lincode Intelligent Visual Inspection System) conducts real-time quality inspections using advanced AI to enhance the accuracy and capabilities of traditional machine vision. LIVIS also offers a simple, no-code platform where manufacturing engineers, machine operators, and quality managers can train and deploy AI models for new parts, defects, and production lines.
No-code training
LIVIS Platform
Empowers manufacturers workers to easily train and deploy AI models for new parts, defects, and production lines.
- Pre-trained AI with 800M+ data, 400+ use cases
- Semi-automatic annotation & synthetic data
- Analytics & reporting for root cause & traceability
- Deployable on-prem or in cloud
Real-time inspections
LIVIS Edge +
Conducts real-time inspections of parts-in-production and end-of-line using advanced AI to improve the accuracy and capabilities over traditional machine vision.
- Reduce false calls over 90%
- Real-time analysis under 50ms
- Results on day 1 at 90% accuracy
- Simple integration with PLC & MES
Leaders like you are seeing results
- Customer Stories
Schneider Electric reduced Inspection cycle time from over 60 seconds to just 5 seconds per unit.
False call rate reduced from 30% to less than 3%, greatly improving accuracy and process reliability.
“We have been using Lincode’s AI-based solution for over 3 years and have seen remarkable improvements in performance. With just a few sample images, our engineers can easily set up inspections, making the system both flexible and user-friendly. Compared to other solutions, LIVIS consistently delivers lower false call rates and greater adaptability, by far the best option for customized inspection needs.”
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Siraj Puthanpurayil
Senior General Manager Manufacturing Technology, Global Supply Chain
DiFACTO improved quality in BIW automation lines where traditional vision systems fail, and they were highly satisfied with Lincode’s flexible, on-site support.
“As pioneers in visual quality inspection using Al, Lincode has helped us solve many challenges in BIW automation lines where traditional vision systems fail to support our applications. The Lincode team is highly flexible to our requirements and has extended their services beyond the initial specifications to help solve the problems on-site.”
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Siraj Puthanpurayil
Senior General Manager Manufacturing Technology, Global Supply Chain
Nußmüller Montagetechnik has achieved a significant boost in productivity with LIVIS, which detects bolt defects and missing pins regardless of part orientation
“Since we started using the Lincode inspection system, we’ve had a significant increase in productivity. The system can detect defects in the bolt no matter how the part is placed, along with missing pins. This has reduced our manual efforts and increased operator efficiency. We are very satisfied with the system and will certainly work with Lincode on other projects..”
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Siraj Puthanpurayil
Senior General Manager Manufacturing Technology, Global Supply Chain
Connect Without Limits
Seamlessly integrate with the systems you already use. No hardware overhaul, no lengthy setup.
Frequently asked questions
How many images or samples are needed for training the AI model?
Unlike most AI-based systems, LIVIS requires minimal data for training. Typically 30 samples per defect and 30 good samples are sufficient to develop the model.
Do I need technical knowledge to build a workflow?
Unlike most AI-based systems, LIVIS requires minimal data for training. Typically 30 samples per defect and 30 good samples are sufficient to develop the model.
How long does it take to get started?
Unlike most AI-based systems, LIVIS requires minimal data for training. Typically 30 samples per defect and 30 good samples are sufficient to develop the model.
What kind of automations can Neura handle?
Unlike most AI-based systems, LIVIS requires minimal data for training. Typically 30 samples per defect and 30 good samples are sufficient to develop the model.
What integrations are available with Neura?
Unlike most AI-based systems, LIVIS requires minimal data for training. Typically 30 samples per defect and 30 good samples are sufficient to develop the model.
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