apps

Apps Overview

This section contains ready-to-use applications that demonstrate the capabilities of DepthAI and OAK devices. These applications are designed to be user-friendly and showcase real-world implementations.

Platform Compatibility

Name	RVC2	RVC4 (peripheral)	RVC4 (standalone)	DepthAIv2	Notes
default-app	✅	✅	✅		Default application pre-loaded on OAK4 devices showing color stream, depth stream, encoded stream and object detections using YOLO network
rgb-depth-connections	✅	✅	✅		Demo combining RGB camera feed with depth information and object detection capabilities.
focused-vision	❌	❌	✅		2stage detection pipeline that preserves detail.
data-collection	❌	❌	✅		Demo showcasing how to use YOLOE for automatic data capture with an interactive UI for configuration.
dino-tracking	❌	❌	✅		Demo showcasing interactive, similarity-based object tracking using FastSAM segmentation and DINO embeddings, enabling click-to-select tracking without predefined classes.
people-demographics-and-sentiment-analysis	❌	❌	✅		Detects people and faces, tracks individuals over time, estimates age, gender, emotion and performs re-identification
p2p-measurement	❌	❌	✅		Real-time 3D distance measurement between two points using DepthAI
qr-tiling	❌	❌	✅		High-resolution QR code detection using dynamic image tiling with adaptive FPS control and an interactive UI for configuring the tiling grid.
ros-driver-basic	❌	❌	✅		Demo showcasing how ROS driver can be run as an APP on RVC4 device.
ros-driver-custom-workspace	❌	❌	✅		Demo showcasing creation of a custom workspace that is built and run on the device itself.
ros-driver-rgb-pcl	❌	❌	✅		Demo showcasing how to publish RGB pointcloud using ROS driver on the device.
ros-driver-spatial-bb	❌	❌	✅		Demo showcasing how to publish RGB pointcloud and bounding boxes from detections in 3D space using ROS driver.
ros-follow-object	❌	❌	✅		Demo showcasing how to implement an object following robot.

✅: available; ❌: not available; 🚧: work in progress