Detects anomalies using trained deep-learning model.

Name Type Description
inImage Image Input image
inDeepModel DeepModel_AnomalyDetection2 Trained model
outHeatmap Image Image contains heatmaps for each input image channel
outIsValid Bool Returns true if anomaly was not found
outScore Real Score of classification
outIsConfident Bool Returns "false" if score is between T1 and T2


For input inImage only pixel formats are supported: 1⨯uint8, 3⨯uint8.

Read more about pixel formats in Image documentation.


Loading Deep Learning Model may take longer timer. Consider using DeepLearning_LoadModel_AnomalyDetection2 for pre-loading model before execution starts.


  • Model provided on inDeepModel input will be loaded to service automatically on first usage of Deep Learning filters.
  • These filters only communicates with service and cannot be use for parallel computation.

Complexity Level

This filter is available on Basic Complexity Level.

Disabled in Lite Edition

This filter is disabled in Lite Edition. It is available only in full, Adaptive Vision Studio Professional version.

See Also