Dockerfile for Intel Realsense camera in ROS 2
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Updated
Sep 9, 2024 - Dockerfile
Dockerfile for Intel Realsense camera in ROS 2
LIPSedge™ AE400 Industrial 3D Camera RealSense™ SDK
ROS Wrapper for Intel RealSense ID Devices
Gazebo models for Intel RealSense D435, D435i and T265 cameras
Automate bin-picking tasks using the Dobot CR5 robotic arm. The system combines YOLOv5 for object detection and FAST/BRISK for feature detection and matching. With a depth sensor camera, we achieve real-time object detection and precise pose estimation, improving industrial automation and operational efficiency.
Recording Camera Feed using Intel Realsense Camera
Detection and Ranging of Faces using Intel Realsense Camera and Haar Cascade Detection via OpenCV
We have created our own dataset with the help of Intel T265 by modifying the examples given by Intel RealSense.
Real-time Background Segmentation with Depth Camer
The API utilizes the power of the Intel Realsense depth camera. Thanks to infrared sensors, the camera is able to calculate the distance and return the three-dimensional coordinates (x, y, z) of a detected person.
Process (read and write) depth data, RGB images directly from inter realsense camera or .bag files.
E-waste non-destructive disassembly Robot that approaches and engage with screws.
This repository showcases the integration of various technologies, including the UR3 robotic arm, Intel D435F camera, custom-made gripper, and other components for berry harvesting applications. The project aims to develop a robust system that can detect berries, determine their pose, and execute precise gripping and harvesting actions
Dobot CR5 with Intel Realsense D435i for object detection and pose estimation (bin-picking application).
official dataset for the Tufts Gaze Depth Dataset, as presented in the paper Gaze Depth Estimation for Eye-Tracking Systems
This is the repository for TIR-ANT's source-code, a ROS2-based tracked mobile robot capable of SLAM using a 2D LiDAR and a depth camera.
Gesture-Enabled Remote Communication and Collaboration
Build librealsense 2.0 library on the NVIDIA Jetson AGX Xavier Developer Kit. Intel RealSense D400 series cameras.
Build librealsense 2.0 library on the NVIDIA Jetson TX Development kit. Intel RealSense D400 series cameras.
The project represents a research application for the University of Glasgow Human Computer Interaction (GIST) Group for researching the benefits of dynamic of audio designs in reaching for blind and visually impaired people.
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