Product

Lincode Intelligent
Visual Inspection System

AI-Powered Visual Inspection, No-Code Platform, Data-Driven Insights

AI-Powered Visual Inspection No-Code Platform Data-Driven Insights
Inspection Speed
< 30 ms

Never miss a defect 
even at full line speed

Hardware Compatibility
90 .9%

Works with what you already have
start in days, not months

Cut Downtime by
5– 6 %

Keep lines running, deliveries on time,
customers satisfied

Lincode Intelligent Visual Inspection System (LIVIS)

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.

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.

LIVIS for Every Inspection Task

Cylinder Block

Identify the rivet missing from the part

Cylinder Block

Identify the rivet missing from the part

Cylinder Block

Identify the rivet missing from the part

Leaders like you are seeing results

Integration

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.

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.

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.

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.

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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