QR Code Detection

Class: QRCodeDetectorBlockV1

Source: inference.core.workflows.core_steps.models.third_party.qr_code_detection.v1.QRCodeDetectorBlockV1

Detect the location of a QR code.

This block is useful for manufacturing and consumer packaged goods projects where you need to detect a QR code region in an image. You can then apply Crop block to isolate each QR code then apply further processing (i.e. read a QR code with a custom block).

Type identifier

Use the following identifier in step "type" field: roboflow_core/qr_code_detector@v1to add the block as as step in your workflow.

Properties

Name	Type	Description	Refs
name	str	Enter a unique identifier for this step..	❌

The Refs column marks possibility to parametrise the property with dynamic values available in workflow runtime. See Bindings for more info.

Available Connections

Compatible Blocks

Check what blocks you can connect to QR Code Detection in version v1.

• inputs: SIFT, Perspective Correction, Image Blur, Relative Static Crop, Triangle Visualization, Corner Visualization, Image Contours, Label Visualization, Polygon Zone Visualization, Keypoint Visualization, Dynamic Crop, Circle Visualization, Camera Calibration, Stability AI Image Generation, Image Threshold, Model Comparison Visualization, Pixelate Visualization, Image Slicer, Camera Focus, Stability AI Inpainting, Dot Visualization, SIFT Comparison, Grid Visualization, Polygon Visualization, Depth Estimation, Color Visualization, Mask Visualization, Trace Visualization, Image Slicer, Reference Path Visualization, Bounding Box Visualization, Image Preprocessing, Image Convert Grayscale, Absolute Static Crop, Classification Label Visualization, Crop Visualization, Halo Visualization, Stitch Images, Line Counter Visualization, Ellipse Visualization, Background Color Visualization, Blur Visualization
• outputs: None

Input and Output Bindings

The available connections depend on its binding kinds. Check what binding kinds QR Code Detection in version v1 has.

Bindings

• input

  • images (image): The image to infer on..

• output

  • predictions (qr_code_detection): Prediction with QR code detection.

Example JSON definition of step QR Code Detection in version v1

{
    "name": "<your_step_name_here>",
    "type": "roboflow_core/qr_code_detector@v1",
    "images": "$inputs.image"
}