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