AI Classification (Front/Back or Presence/Absence)
Function Description
This step determines front/back orientation and presence/absence of workpieces in images. Through image acquisition, target-region setup, and category labeling, combined with deep-learning training and validation, it outputs stable binary classification results.
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Using this step requires a "Lite AI" feature license. Contact Mech-Mind sales to obtain it. |
Usage Scenario
This step is suitable for scenarios with front/back and presence/absence judgment criteria for workpieces. It is typically preceded by 2D Smart Camera or 2D Matching. The former is suitable when target positions are relatively fixed, where images are acquired and then classified. The latter is suitable when target positions are offset, where pose-transformation parameters are obtained through alignment steps and input to this step to synchronously adjust target-region positions for stable classification.
Input and Output
Input
| Input Port | Data Type | Description |
|---|---|---|
Image |
Image |
Workpiece images to be classified. |
2D Alignment Parameter Group |
Pose2D[] |
Synchronously adjusts poses of target regions based on pose transformations of target objects. |
Output
| Output Port | Data Type | Description |
|---|---|---|
Classification Judgment Result |
String[] |
Classification judgment result: OK or NG. |
Classification Status |
Bool[] |
Indicates whether classification succeeds. |
Classification Confidence |
Number[] |
Confidence of each classification result. |
Detected Image |
Image[] |
Images with detection results. |
Parameter Description
| Parameter | Description |
|---|---|
Model Name |
Description: Select a configured model from the drop-down list. Models need to be added in the editor in advance. Adjustment instruction: Click Configuration Wizard (or the Configuration Wizard button on the step block) to enter the AI Classification (Front/Back or Presence/Absence) tool and configure models. For usage, refer to AI Classification (Front/Back or Presence/Absence) Tool. |
Visualize Detection Results |
Description: After selection, this step outputs images with detection results for debugging and result review. Default value: Not selected. |