Prashant Vishwakarma
Web angel Technologies LLP
Feb 11, 2024
Period
- 2022
Testimonial
I've been using the Real Sense Depth Camera in my project, especially to see the object during its learning phase, it's hooked up to my computer running ROS, Which makes integration super easy, I set it up on a tripod pointing down at the table where i work.
Sofia Faraci
Università di Pisa
Jan 31, 2023
Period
- 2022
Title
This camera has been used as a vision system for a robot manipulator. It was essential to achieve object detection for the teaching phase of a Teaching by Demonstration learning system. The robot was controlled using ROS and thanks to the ROS wrapper of the Intel RealSense camera it was quickly integrated into the project. The camera was placed on a tripod facing the working surface
Pro
It has a ROS wrapper. It is a stereo camera that allows the creation of Point Cloud Data and the location of the points in the 3D space. It is easy to use and to integrate.
Con
When placed on a tripod it was unstable and it needed constant recalibration. It has to be connected with a USB type C wire, the one provided is relatively small.
Antonio Manuele
Università di Pisa
Jan 28, 2023
Period
- 2021
Title
I used this camera for dynamic picking with a serial manipulator. The camera was used in the wrist of the manipulator, realizing an eye-in-hand robot configuration. I needed a small camera with depth measurements and easy to use.
Pro
It is compatible with ROS (Robot Operating System). It is a RGB-D camera and depth measurements are quite accurate over a certain distance. Good value for money.
Con
Depth measurements can be noisy with small distances.
Corentin Fournier
Siemens
Jan 4, 2023
Period
- 2019
Title
I used the Intel RealSense D415 for obstacle distance detection for an industrial AVG and mainly referring to pointCloud2
Pro
Images with high quality and a high FPS. It is noted that one of its strengths is the ease of use without necessary preknowledge.
Con
The value for money is slightly less interesting compared to what the competition offers.
Pedro Silva
TUGBOT
Dec 19, 2022
Period
- 2022
Title
QR code detection , localization and obstacle avoidance layer
Pro
powerful small camera (RGB + stereo infra-red depth camera)
Con
False obstacles , "ghosts" obstacles at higher rotation speeds and/or with bright/shiny environments
USB cable sensitive, maximum 1 meter cable sometimes the ros node is killed because of cable connection.
Marco Baracca
University of Pisa
Dec 13, 2022
Period
- 2022
Title
I have used the Intel RealSense D415 camera in research applications (using both RGB and Point Cloud data) for pick & place of moving object.
Pro
It is easy to use and can be set up rapidly. The camera can be integrated easily with other systems (such as robotic manipulators) thanks to the ROS wrapper provided by Intel
Con
Acquire 3D data through ROS can be computationally heavy giving some problem to the stability of the nodes. The range and the field of view is limited and the point cloud could be very noise in some situations
Mohan Raj Nadarajan
SR Privtae Limited
Nov 30, 2022
Period
- 2022
Title
One sensor is used in the mobile manipulator which is mounted on the frame, protruded with a link from the robot base. The depth camera is used for detecting object tasks and semantic segmentation tasks.
Pro
The number of frames per second is very high. The depth information provided along with the camera feed helps the sensor to be used in multiple applications like robotics, autonomous vehicles or computer vision tasks. The raw camera is used to identify the object with creating a boundig box and post that the lidar or other sensor can be used or find the point cloud to find the longest vector. The camera is worth equivalent to the money invested, summary the return of investment is very quick.
Con
The tool for fusion of real sense depth camera data to other sensor data like lidar data from other manufacturer is not existing. The camera requires a wired connection, having a wireless version of connection and updating the data to cloud directly from camera to cloud computer can be used for supporting in Industry 4.0 and the revolutionzing standards of industrial standards.
sam biermans
Heliovision
Nov 14, 2022
Period
- 2022
Title
We have been using the realsense camera for basic 3D imaging and dept information as an added sensor to some 2D applications.
It helps us locate the general 3D shape of objects and makes sure the environment if free for the robot and tools to move.
Pro
A lot of documentation can be found on the internet.
Some suppliers have built different housings for the camera.
The price is good for the point cloud you get.
Con
The camera is not industrial grade, it is more developed for R&D or to be build into a different OEM solution.
Daniel Feliu
Khalifa University Science and Technology
Nov 1, 2022
Period
- 2021
Title
We were using this camera in order to detect the 3D position of branches of trees and collect samples in the nature with flapping wing robots
Pro
The quality of the images
Con
The price is a little high in comparison with other cameras
Alessandro Palleschi
University of Pisa
Oct 28, 2022
Period
- 2022
Title
I have used the Intel RealSense D415 camera for research for pick-and-place applications (using both RGB and Point Cloud data), dynamic human and object tracking.
Pro
Affordable and easy to use. Intel provides SDKs compatible both with Linux and Windows, and it also offers a ROS wrapper that makes it easy and fast to integrate the sensor with other programs and algorithms.
Con
Limited range for depth data and field of view. The point cloud is sometimes noisy and acquiring the 3D data via ros can be computationally heavy causing the ros node to crash.