ArUco marker detection and pose estimation using camera interfaces. Includes configuration, detection, and pose estimation modules. Supports physical cameras and CoppeliaSim.
Intel RealSense + ROS2 integration package with pre-configured launch files, YAML configs, RViz layouts, and Docker support for six camera models
Intel RealSense D400 Series Stereo Camera on Python
This project focused on building a robust, practical utility for sensor data acquisition. I developed a configurable application to manage Intel RealSense cameras, handle multiple data streams, and control hardware features like the IR laser emitter.
An end-to-end pipeline for table tennis juggling that leverages real-time 3D trajectory tracking and precise robotic striking with a UR5 manipulator.
MLX-accelerated depth camera processing for Apple Silicon. 330x faster than RS2 SDK. Metal GPU kernels, stereo depth, point clouds, mesh generation, occupancy grids. 1048 tests.
This project traces my evolution in object detection. I started with classic color-based segmentation, advanced to integrating a YOLOv8 model, and finally incorporated 3D point cloud processing to create a full detection and tracking pipeline.
Detection and Ranging of Ball using Intel Realsense Camera and Circular Hough Detection via OpenCV
📸 Capture images effortlessly from Intel RealSense cameras using a modular Python app with flexible controls and timestamped saving options.
Graduation Project - AMR for supermarket assistance with navigation guidance, product information, and AI self-checkout for elderly/disabled users
A soft gripper system driven by computer vision and point cloud analysis, using shape detection and aligned depth data to estimate object dimensions. Created for the Soft Robotics course project.
This project was developed as part of my hands-on learning journey into computer vision and robotics. It represents my exploration and implementation of Intel RealSense depth camera functionalities, including calibration, stream processing, background removal, and 3D point cloud visualization using Python and OpenCV.
Paquete ROS 2 con descripciones URDF/Xacro reutilizables para construir robots por componentes. Incluye macros comunes (nombres, inercia, visual/collision), ruedas y forks, sensores por tipo (LiDAR, IMU, cámara), meshes asociados, ejemplos de simulación y tests de validación.
🛠️ Streamline your computer vision projects with the RealSense Vision Toolkit, a modular solution for Intel RealSense cameras equipped with robust utilities.
RealSense RGB-D Viewer in OpenCV-Python
Face Recognition Access System
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