Delta Filter¶

The Delta Filter is a flow control block that triggers workflow steps only when an input value changes. It avoids redundant processing and optimizes system efficiency.

+----------------+      (value changes)       +----------------+
| Previous Value |  ----------------------->  |   Next Steps    |
+----------------+                           +----------------+

Key Features:

Change Detection: Tracks input values and only proceeds when a change is detected. Dynamic Value Support: Handles various input types (e.g., numbers, strings). Context-Aware Caching: Tracks changes on a per-video basis using video_identifier.

Usage Instructions: Input Configuration: Set "Input Value" to reference the value to monitor (e.g., counter). Next Steps Setup: Define steps to execute on value change.

Example Use Case:

A video analysis workflow counts people in the zone. When the count changes, Delta Filter triggers downstream steps (e.g., setting variable in OPC), minimizing redundant processing.

Type identifier¶

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

Properties¶

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

Available Connections¶

Check what blocks you can connect to Delta Filter in version v1.

• inputs: Multi-Label Classification Model, Line Counter, Reference Path Visualization, Data Aggregator, OpenAI, Single-Label Classification Model, LMM For Classification, OCR Model, Roboflow Dataset Upload, Stability AI Inpainting, Absolute Static Crop, Trace Visualization, Path Deviation, Byte Tracker, Halo Visualization, Instance Segmentation Model, SIFT, SIFT Comparison, Email Notification, Anthropic Claude, Pixelate Visualization, Path Deviation, Classification Label Visualization, Mask Visualization, Background Color Visualization, Crop Visualization, Relative Static Crop, VLM as Classifier, Google Gemini, Image Contours, JSON Parser, Detections Filter, Gaze Detection, Byte Tracker, Image Threshold, Roboflow Custom Metadata, Cache Set, Keypoint Detection Model, Multi-Label Classification Model, YOLO-World Model, Template Matching, Byte Tracker, Instance Segmentation Model, Distance Measurement, Florence-2 Model, CogVLM, LMM, Size Measurement, Stitch OCR Detections, Object Detection Model, Roboflow Dataset Upload, Camera Focus, Identify Changes, Continue If, Keypoint Visualization, Label Visualization, Cache Get, Polygon Zone Visualization, Model Monitoring Inference Aggregator, Pixel Color Count, Dynamic Zone, Object Detection Model, Triangle Visualization, Local File Sink, Barcode Detection, Single-Label Classification Model, Clip Comparison, Ellipse Visualization, Detections Stitch, Identify Outliers, First Non Empty Or Default, Detections Classes Replacement, Slack Notification, Clip Comparison, Image Blur, Twilio SMS Notification, Detections Transformation, Dot Visualization, Model Comparison Visualization, VLM as Detector, SIFT Comparison, Dynamic Crop, Rate Limiter, Cosine Similarity, Environment Secrets Store, Property Definition, VLM as Classifier, Image Slicer, Perspective Correction, Line Counter Visualization, Grid Visualization, Detections Consensus, Time in Zone, Webhook Sink, Google Vision OCR, Buffer, Image Convert Grayscale, Time in Zone, Stitch Images, Blur Visualization, Bounding Rectangle, Florence-2 Model, CSV Formatter, Keypoint Detection Model, Color Visualization, Delta Filter, Image Preprocessing, Dominant Color, QR Code Detection, CLIP Embedding Model, Expression, Dimension Collapse, VLM as Detector, Polygon Visualization, Detections Stabilizer, Segment Anything 2 Model, Detection Offset, OpenAI, Circle Visualization, Line Counter, Bounding Box Visualization, Corner Visualization
• outputs: None

Input and Output Bindings¶

The available connections depend on its binding kinds. Check what binding kinds Delta Filter in version v1 has.

{
    "name": "<your_step_name_here>",
    "type": "roboflow_core/delta_filter@v1",
    "image": "<block_does_not_provide_example>",
    "value": "$steps.line_counter.count_in",
    "next_steps": "$steps.write_to_csv"
}