- 【3D visual technology】Using structured light 3D imaging, the camera can provide high-precision depth maps for objects within a range of 0.2 to 4 meters, which is very suitable for various depth modeling applications, meeting the robot's indoor environment usage scenarios to ensure the integrity of the depth camera's three-dimensional visual mapping, navigation and mapping.
- 【High-performance depth computing】The built-in depth computing chip is designed for the robot's obstacle avoidance function, effectively eliminating the need for external computing resources.
- 【Support AI functions】A variety of AI functions such as OpenCV, AR vision, gesture control, motion capture, etc. are implemented, suitable for various human-computer interaction scenarios. It provides an effective solution for robot perception, obstacle avoidance and navigation.
- 【Wide compatibility】Supports RaspberryPi, NVIDI-A JETSON series controllers, PCs and industrial personal computers. Supports ROS, Raspberry Pi, JETSON series, RDK series robots.
- 【Provide information】Supports ROS1/ROS2 systems and provides related SDKs, which is very suitable for robot and 3D vision development. 2 versions are available: separate depth camera; separate depth camera + adjustable bracket.
Product description
ROS 3D RealSense Depth Camera
Product Introduction
Structured light imaging technology
73.8° Wide Field of View (FOV)
0.2-4M Depth Image
Support ROS1 and ROS2
Specification
Yahboom AI Large Model Embodied Intelligent ROS Robotic Series
When performing depth calculation, the depth calculation processor compares and calculates the pre-calibrated infrared "reference pattern" with the currently collected infrared "real-time pattern". According to the relative displacement between the two, the deviation value (d) of each pixel between the images can be obtained. Then, based on the principle of structured light triangulation, the distance, that is, the "depth", is calculated from the deviation value d.
Nuwa-HP60C's high-precision large FOV can capture a wider scene, thus providing a more comprehensive perspective. High-precision depth data can be used for real-time object tracking, posture estimation, virtual reality, augmented reality, 3D environment reconstruction and other applications.
The measurement blind area is as low as 0.2 meters, which is particularly suitable for close-range measurement and is widely used in application scenarios such as robot end effector positioning.
It is fully compatible with ROS1 and ROS2 systems, and provides SDKs for both systems.
