CloudSoftwareHardware
Software Stack
DepthAI
OAK Apps
AI
Troubleshooting

ON THIS PAGE

  • Roboflow Workflows
  • Overview
  • Usage
  • Getting Started
  • Running the App

Roboflow Workflows

Supported on:RVC4

Overview

Roboflow Workflows is a visual, no-code system for building and deploying end-to-end computer vision pipelines. It allows you to connect models, pre- and post-processing steps, and decision logic into a single, production-ready workflow—without writing glue code. With Workflows, models trained on Roboflow can be turned into deployed vision applications quickly, while keeping pipelines easy to understand, debug and iterate on.In this integration, we bring Roboflow Workflows directly to a DepthAI device so you can see results instantly in the real world. No complicated setup. No heavy coding. Just plug in your device, connect your workflow and watch everything come to life.And because OAK4 is a fully standalone AI camera, the entire Roboflow Workflow can run directly on-device—no extra hardware, no cloud dependency, and no code required. It’s one of the fastest ways to turn a Roboflow project into a real-world computer vision system.

Usage

Getting Started

Before running the app, you’ll need an existing Roboflow Workflow.Follow these steps to get up and running:
  • Create your Workflow in the Roboflow web app
  • Click Deploy → Video → Live Video
  • Select Run locally
  • Clone the Roboflow Workflow OAK example
  • Copy the required values (workspace name, workflow ID, etc.) into the app’s config.yaml
  • Add your Roboflow API key
  • Ensure the workflow parameters match the inputs defined in your Workflow
You can also use config.yaml to customize settings such as device type, frame size and frame rate to better fit your application.

Running the App

This app runs on an OAK4 device in standalone mode. The easiest way to test it is to connect to your device locally using oakctl, then run the app directly from the example directory:
Command Line
1oakctl connect
2oakctl app run . # assumes you are already in the example directory
Then open the local DepthAI Visualizer in your browser to see everything in action. The Roboflow Workflow starts automatically on the live video stream and you can adjust parameters in real time or even switch between different workflows on the fly.The app determines how results are displayed using simple naming conventions:
  • Output names containing "predictions" are parsed into DepthAI bounding boxes and rendered as overlays
  • Output names containing "visualization" are displayed as images
  • All other workflow outputs are ignored
If you want an output to appear in the visualizer, just give it a clear, descriptive name.