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: Pixelate Visualization, Crop Visualization, Perspective Correction, Trace Visualization, Background Color Visualization, Line Counter Visualization, Keypoint Visualization, Reference Path Visualization, Color Visualization, Classification Label Visualization, Mask Visualization, Label Visualization, Dynamic Crop, Circle Visualization, Polygon Zone Visualization, Ellipse Visualization, Stability AI Image Generation, Triangle Visualization, SIFT, Image Slicer, Image Preprocessing, Bounding Box Visualization, Absolute Static Crop, Stitch Images, Image Blur, Image Slicer, Depth Estimation, Blur Visualization, Polygon Visualization, Camera Calibration, Image Threshold, Camera Focus, Image Contours, Corner Visualization, Model Comparison Visualization, Image Convert Grayscale, Relative Static Crop, Halo Visualization, SIFT Comparison, Stability AI Inpainting, Grid Visualization, Dot 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"
}