luxonis

ROS2 driver for OAK cameras

This repository integrates Luxonis cameras with unix based PC and programmable logic controllers (PLCs) using simple REST and websocket APIs. It brings AI-powered analysis directly into manufacturing environment.

Automated defect detection and smart manufacturing through Deep Learning and Edge-Compute cameras.

Robopipe OS image for robopipe controllers.

my ROS workspace

A lightweight neural-network for rapid detection of traffic cones

ROS 2 driver for the Luxonis OAK-D and OAK-D Lite: independent color, depth, point cloud, stereo, disparity and IMU topics, one YAML config, RViz setup and a printable stand with exact TFs.

Single Shot MultiBox Detector deployed on a OAK-D Lite cam via DepthAI

Reference designs for the Depth Camera FMC for Zynq UltraScale+

A computer vision and machine learning pipeline on a distributed framework. Designed for an embedded network on low voltage IoT hardware.

Collision Avoidance System based on yolov5 and OAK-D stereo camera

Keep the Opal C1 webcam alive after Opal shut down: a tiny macOS menu-bar app with live preview and UVC controls, plus flash backup, bootloader and pipeline tools for its Myriad X / DepthAI internals.

A toolkit for OAK-D stereo cameras featuring real-time collision avoidance, object detection, and device management. Built with DepthAI v3.

python, raspberry pi 3, depthai, opencv, numpy, oak d lite, servo motor, computer vision, robotics & AI, autonomous robot application(UGV & UAV)

About Djinn Technologies

A flatbed scanner made from a depth camera: rectified photo + 1:1 DXF outline for CAD.