Anomaly Detection module

The PEKAT VISION Anomaly Detector module is able to detect previously unseen or novel defects, greatly reducing training time and streamlining the deployment process. This makes it an ideal choice for industries that require quick, reliable, and efficient inspection solutions.

Anomaly Detection Based Solely on Defect-Free Images

OK images for training only icon
Trains on OK Images
Only defect-free images are used for training
No annotation required icon
No Defect Annotation
No annotation of defects is required for the training
Super fast training icon
Fast Training
Exceptionally fast module training
Detects novel defects icon
Detects Novel Defects
Previously unseen defects are easily identified
Anomaly Detector — carburetor inspection screenshot

Easily Identifies Defects and Anomalies

The Anomaly Detector module identifies deviations from the OK state that indicate defects, useful particularly in applications where defects are rare and varied. Even when the shape, size, location, or type of defect is unpredictable, the Anomaly Detection module can easily detect these defects, ensuring comprehensive quality control even in complex and variable conditions.

Anomaly Detector use cases

Easily Adapts to Natural Variations in Materials

PEKAT VISION’s proprietary Focused-learning Technology offers unparalleled accuracy in distinguishing anomalies while accommodating natural variations in complex patterns.

How the Anomaly Detector Works

The Anomaly Detector, like other PEKAT VISION deep learning modules, uses a multi-layer neural network to automatically learn features from data, excelling in complex and variable inspection tasks. Unlike supervised methods, which rely on labeled datasets to classify images, objects, or defects, the Anomaly Detector is an unsupervised approach trained on defect-free images.

This method identifies deviations from the norm, highlighting potential defects without needing detailed annotations. Users simply assign an ‘OK’ label to at least one defect-free image, and the module then detects anomalies based on this reference model, which it continuously uses to inspect new images for any defects.

 

Watch the Anomaly Detector Tutorial

Watch a step-by-step video tutorial for the PEKAT VISION deep-learning Anomaly Detector module. From basic setup to troubleshooting and calibration. It covers all you need to know to get started and optimize your defect detection processes.

Combine Modules for Advanced Vision Tasks

The individual PEKAT VISION modules can be seamlessly combined and integrated with scripting code to tackle a wide range of vision tasks in manufacturing. All in the user-friendly PEKAT VISION software interface.

Deep learning PEKAT VISION branching on a screen

Get In Touch

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PEKAT VISION is now part of Datalogic Group