CorteX Central

Build better detection models faster with the CorteX Central AI management

system – no AI experience needed

Manage AI models in one central platform

Manage and optimize models without disrupting production

Deploy AI models across production lines globally with CorteX Central's scalable architecture

Use intuitive, drag-and-drop interface to develop AI models

As few as 5 images needed to train AI models

Instantly tune quality criteria across 6 adjustable attributes

Visualize impact on yield before deploying AI models to production

Use LIMIT-- a separate inference decision from OK or NG– to set aside parts based on certain thresholds to further validate

Detection

Classification

Count

Thresholds

Location

Measurement

Depth

Barcode

Rule-Based Vision

Other AI / Deep Learning

UnitX CorteX

Effort

Requires engineers to develop complex, bespoke rules for each defect and part type

Requires 100s of images to train

Intuitive training interface requires as few as 5 images to train; no AI experience needed. Quick to adapt to new product and defect types

Accuracy

Only accurate for well-defined defects and parts with consistent environment, leading to escapes and overkill

Can fail on part position and orientation variability, sometimes requiring additional positioning tools

Accurate for defects that are complex and variable in shape, size, location, and presentation, automatically normalizing for position variability

Yield Optimization

Manual effort required to tune quality criteria. Unclear how criteria impact yield, leading to overkill

Easily tune quality criteria specific to each defect across a number of attributes. Visualize impact on yield before pushing changes to production