d435

[High Performance / MAX 30 FPS] RaspberryPi3(RaspberryPi/Raspbian Stretch) or Ubuntu + Multi Neural Compute Stick(NCS/NCS2) + RealSense D435(or USB Camera or PiCamera) + MobileNet-SSD(MobileNetSSD) + Background Multi-transparent(Simple multi-class segmentation) + FaceDetection + MultiGraph + MultiProcessing + MultiClustering

RaspberryPi3(Raspbian Stretch) + MobileNetv2-SSDLite(Tensorflow/MobileNetv2SSDLite) + RealSense D435 + Tensorflow1.11.0 + without Neural Compute Stick(NCS)

土炮智能機器手視覺系統，結合Intel OpenVINO NCS, RealSense D435完成採收小蕃茄直交式機器手臂視覺系統概念機。

[DEMO] links Intel RealSense T265 (tracking-camera) & Intel RealSense D435i (depth-camera) via roboter-operating-system (ROS) for generating a trackable point-cloud image dataset in the "real world"

ROS2 Package for instance segmentation using the YoloV8 segmentation model and a Intel Realsense D435 camera

Real-time streaming (AWS kvs) & object detection & semantic segmentation using RealSense D435i on Jetson Nano

2nd Assignment of Computer Vision by José Rosa and Ricardo Silva

K1 edge AI risk inspection robot with SLAM-Frontier exploration, D435 YOLOv8n risk detection, risk mapping, Nav2/RRT, MoveIt/RL interfaces, and local LLM reports.

Object detection and tracker utilising RealSense D435 Depth Camera on detecting features and object relation. Python is the main language utilised for this project and OpenCV as the main Computer Vision Framework.

A real-time physiotherapy exercise aid for home usage using Intel D435 camera and Arduino.

Scripts to process VINS-Fusion with a RealSense D435i and create a new rosbag with images and odometry.

2019 DGIST DPoom project under UGRP : SBC-Based Full Automation Robot Driving Solution with Indoor SLAM and single RGB-D Camera

Facial recognition with the Intel Realsense D435i Depth Camera

Experimenting with the D430 Ros-Python & C++ Standalone