Creating Real-time Digital Twins with Intel RealSense Depth Cameras
Intel RealSense Blog
by RTTM Developer
1w ago
Developers inspire our work, we’re constantly amazed at the innovation their solutions. One of these such examples is by Spectacular AI using Intel® RealSense Depth Cameras to create digital twins in real-time. The Spectacular AI SDK provides real-time inside-out tracking capabilities tailored for the Intel RealSense Depth Camera D455. Utilizing Visual Inertial Odometry (VIO), it fuses visual data from the camera with readings from internal sensors (accelerometer and gyroscope) to accurately determine the device’s position, orientation, and movement. This integration ensures robust tracking p ..read more
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Unleashing the Power of Robot Arms and Intel RealSense 3D Cameras
Intel RealSense Blog
by RTTM Developer
3w ago
Intel® RealSense Depth Cameras are perfect for many robotic applications, such as pathfinding and navigation, human safety, and picking/handling objects. We love finding interesting Intel RealSense technology use cases in our developer community. One such example is Elephant Robotics and their new educational robotic arm kit, the AI Kit 3D. Empower learning and explore the future with their user-friendly Robotic Arm and Intel RealSense Depth Camera Kit, which masters 3D camera technology. Their AI Kit has five built-in main visual recognition algorithms powered by Intel RealSense technology ..read more
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Smart Agriculture with Intel RealSense and Directed Machines
Intel RealSense Blog
by RTTM Agency
1y ago
The United Nations projects that the world’s population will reach 9.7 billion by 2050, causing global agricultural production to rise 69% between 2010 and 2050. To meet this demand, farmers and agricultural companies are turning to automation. The Smart Agriculture industry was valued at $11.5 billion in 2021 and is expected to reach $24.3 billion by 2028, a compound annual growth rate of more than 11 percent. As farmers and renewable energy providers attempt to make up for labor shortfalls with automation and increased mechanization, a new line of autonomous Land Care Robots (LCRs) from Dire ..read more
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Protected: New Intel RealSense D457
Intel RealSense Blog
by RTTM Agency
1y ago
This content is password protected. To view it please enter your password below: Password: The post Protected: New Intel RealSense D457 appeared first on Intel® RealSense™ Depth and Tracking Cameras ..read more
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Intel® RealSense™ SDK 2.0 and Open3D
Intel RealSense Blog
by Suzanne Leibrick
3y ago
One of the benefits of working with Intel RealSense depth cameras is that the Intel RealSense SDK 2.0, works seamlessly with any of our depth cameras, allowing developers to switch between devices with ease. The Intel RealSense SDK 2.0 is now integrated with Open3D (version 0.12+), an open-source library designed for processing 3D data. Open3D supports rapid development of software for 3D data processing, including scene reconstruction, visualization, and 3D machine learning. It can be used through both C++ and Python APIs without a separate Intel RealSense SDK installation on Linux, macOS and ..read more
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Identity and Authentication with Intel RealSense ID
Intel RealSense Blog
by Suzanne Leibrick
3y ago
For most of us, on any given day, we engage with multiple different authentication systems. To leave your home, you likely lock a door behind you with some kind of key. You unlocked a vehicle with perhaps a different kind of electronic key. You swiped a badge or clocked in with an employee card, and when you started work on you computer, you used a number of different alphanumeric passwords  to get access to the software, accounts or websites you need. All of these authentication methods rely either on a physical item like a key, or your memory, to remember passwords and pin numbers. In s ..read more
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3D at the edge
Intel RealSense Blog
by Suzanne Leibrick
3y ago
What is edge computing? For many internet of things (IoT) applications, a large amount of data can be generated during the course of operation – data that needs to be processed and analyzed as well as acted upon. Edge computing refers to a distributed system where that data is handled close to the edge of the system, where the devices creating the data are located, rather than transferring and processing the data in a central or cloud location. Processing data closer to the sensors means improved speed and lower latency, as well as cost savings since the bulk of the information doesn’t need to ..read more
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The Intel Realsense SDK and ROS/ROS 2
Intel RealSense Blog
by Suzanne Leibrick
3y ago
Over the next few years, robots will become an increasingly large part of our lives – whether we look at home robots like vacuum cleaners, last mile delivery robots, or large scale industrial and logistics robots. As much as the individual capabilities of a robot can vary with their intended use, there are a number of abilities that many of these robots will need, regardless of purpose. We can draw parallels to humans in this way – no matter what your role in life, your individual talents and skills, you still need oxygen and food to fuel your bodily systems. Similarly, robots all need power s ..read more
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USB Interoperability Testing for Intel® RealSense™ Cameras
Intel RealSense Blog
by Michael Vannucci
3y ago
D415 D435 D435i D455 L515 Download PDF Revision 1.0   Contents Introduction    1.1 Purpose and Scope of This Document    1.2 Terminology    1.3 Equipment List Topologies and Tests    2.1 Basic Topology    2.2 Tests Performed    2.3 Conclusion   Figures FIGURE 2-1. Basic Topology FIGURE 2-2. Basic Topology Change 1 FIGURE 2-3. Basic Topology Change 2   Tables TABLE 1-1. Terminology TABLE 1-2. Equipment List TABLE 2-1. Tests Performed   Revision History   Revision Number Description Revision Date ..read more
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Best Known Methods for Optimal Camera Performance over Lifetime
Intel RealSense Blog
by Michael Vannucci
3y ago
D415 D435 D435i D455 Download PDF Revision 1.0   Contents Introduction    1.1 Purpose and Scope of This Document    1.2 Organization Overview    2.1 Definitions    2.2 Tools Needed for Integration Process    2.3 Configuration Considerations    2.4 Camera Integration Keep Optimal Camera Performance over Lifetime    3.1 Camera Performance    3.2 Calibration Types     3.3 When to Use Each Calibration     3.4 Self Calibration          3.4.1 On-Chip Cali ..read more
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