Powered by OpenFilter, A Universal Abstraction for Computer Vision Workloads
Demo Application: Overlays subject data from DriveID, Clipper, and TextScan on processed license plate frames

Real-time Detection Transformer v1 (RT-DETR) for object detection. Pre-baked image with PekingU/rtdetr_r50vd model from HuggingFace with COCO classes (80 object categories). Runs in offline mode with no network dependency.
A production-ready OpenFilter component that collects events from filter pipelines and reliably delivers them to a CloudEvents ingestion compatible endpoint.

Roboflow DETR (RF-DETR) for object detection. Supports multiple model sizes (nano, small, medium, large, xlarge, 2xlarge) with COCO classes (80 object categories).

Real-time Detection Transformer v2 (RT-DETRv2) for object detection. Pre-baked image with PekingU/rtdetr_v2_r50vd model from HuggingFace with COCO classes (80 object categories). Runs in offline mode with no network dependency.

Zero-shot object detection using Meta's Segment Anything Model 3 (SAM3). Detects objects based on text prompts without requiring training.
crops any region of interest (polygon) in a video and creates a new video from it
Detect motion and structural changes, and save video frames that meet specific criteria
Show incoming topic image stream on a web server
Read a images from a folder or GCS bucket or S3 bucket
Exports data to MQTT, bundled in with OpenFilter
Record frame data to files as JSON or CSV. If the output filename ends with '.csv' the output will be CSV, otherwise JSON
Provide REST endpoint(s) and send incoming JSON data on down the filter pipeline
Read a single video file, network stream or webcam until the end