Open absargana opened 2 days ago
Hi @absargana Thanks very much for your questions.
What is the specification of the computer that you are using with the cameras, please? Each camera that is enabled simultaneously consumes more of the computer's resources. It is recommendable to use a computer with at least an Intel Core i5 processor or equivalent for handling three simultaneous cameras.
Whilst depth can be synchronized between multiple cameras using hardware sync (joining the cameras together with wiring linking to their sync pins (under a small removable cap on top of the camera), there is ony one mode for depth + rgb synchronization with hardware sync. Called genlock hardware sync, the RGB sync did not work well though and genlock sync is no longer supported by Intel (though is still accessible in the Viewer and SDK).
It may be better simply to start all cameras simultaneously using Python code, like the multiple camera project at the link below.
https://github.com/ivomarvan/samples_and_experiments/tree/master/Multiple_realsense_cameras
Hi everyone, I'm working on a project involving head pose estimation and eye blink detection using three Intel RealSense D455F cameras in a recording room. The goal is to capture synchronized RGB and depth streams. Here’s my setup: • Camera Model: D455F (3 cameras) • Firmware Version: 2.55.16.486 • Operating System: Windows 11 • SDK Version: 2.55.16.486 • Programming Language: Python • Recording Tool: RealSense Viewer • Connection: All cameras are connected via a USB hub to my computer. I'm saving the recordings as .bag files. However, I’m facing a couple of challenges: