The Sender is responsible for encoding and streaming an attached ZED’s video via the local network. Lower TCO (total cost of ownership): Since ZED cameras don’t need their images processed locally, they can run on low-cost intermediary devices such as the NVIDIA Jetson Nano, cutting down on hardware setup requirements. This improves the efficiency of compute-heavy applications, such as deep learning, by processing images in batches. Simple Installation: Users can deploy ZED cameras anywhere reachable by Ethernet cabling, enabling long-range and outdoor coverage.Ĭompute Efficiency: Users can now offload the image processing workload for multiple ZEDs onto a single powerful server. An unlimited number of remote computers, also running the SDK, can use the stream as input as though they were connected over USB.Įasy Collaboration: Several users can simultaneously access any video feed on the network, making teamwork a lot easier. The new streaming feature turns ZED cameras into IP cameras, offering the following advantages for multiple-camera setups:įlexible Architecture: Users can now connect as many ZED cameras as needed, directly to a network. In this tutorial, we describe how to set up a network of ZED cameras using the new streaming feature in ZED SDK v2.8. How to Set Up a Multi-Depth Camera Network The need to aggregate 3D Perception from multiple cameras has been growing rapidly. Build new immersive experiences with Spatial AIĬreate real-time and extraordinary interactive experiences that will blow away your audience.īring the best of virtual and augmented reality together with our ZED cameras.Remotely monitor human activity and spacesĬreate a digital twin of any space by using off-the-shelf skeleton tracking, object detection and depth estimation modules.Popular among robotics engineers, the ZED camera provides all the necessary blocks to add 3D perception to robots. All-in-one 3D perception platform for robots.

Ip camera sdk