CorteX Edge

Manual inspection doesn’t scale. Automate inspection with the CorteX Edge AI 

inference system

Minimize escapes with pixel-level accuracy

oor imaging is detrimental to inspection accuracy. Capture optimal images with the OptiX software-defined imaging system

Defects recognized at the pixel-level
Normalized for orientation variability
9x reduced escape rate vs human operators

High speed decisions on the edge

AI models run on the edge without Internet or reliance on cloud
Supports high inference speeds up to 100 MP / sec for rapid detection
Protocol
Support
EtherNet/IP
EtherCAT
ADS
OPCUA
TCP/IP
Modbus
Profinet
IO
MES

Automate inspection in-line via integration

Seamlessly integrate CorteX Edge with all major PLC, MES, and FTP systems

Compatible with external imaging systems

Deploy UnitX’s AI inspection faster where external imaging systems are already installed

Not just defect detection. All-in-one inspection that provides:

Detection
Classification
Count
Thresholds
Location
Measurement
Depth
Barcode

The UnitX Advantage

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 overki

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

UnitX AI Inspection
Solution Brief

UnitX AI Inspection Solution Brief1
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