Realsense d415 working temperature and MTBF.
Hi,
I was looking to get a Realsense d415 for my robotics application. Please provide your insights on these points:
1 .In the datasheet, the working temperature is mentioned from 0-35C. But my application can have temperatures up to 50C. Is there any solution to counter this?
2. My application is highly demanding and cannot afford any downtime. Needs to operate 24x7. Is d415 made to stand such operation?
Any insight will be highly valued.
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1. If the high temperature is partially due to high external temperature (hot weather for example) then keeping the outer case of the camera cool should help to reduce internal temperature. For example, Intel lab tests found that the Projector temperature should not exceed 60 degrees C if the casing temperature does not exceed 44 degrees C.
https://github.com/IntelRealSense/librealsense/issues/5209#issuecomment-563358823
If you anticipate very high internal temperature due to the demands of your application rather than external temperature, you could consider using the caseless Depth Module Kit board version of the D415 and designing a custom casing for it that can provide enhanced heat extraction (e.g a more advanced heatsink component design than the one built into the standard D415). The data sheet provides guidance about custom heatsink design.
FRAMOS are an example of just one of the Intel Authorized companies who can supply the Depth Module Kit range:
https://www.framos.com/en/depth-module-d415-20742
2. The RealSense 400 Series cameras can run indefinitely so long as they remain within recommended temperature tolerances. In a long-run session, if problems occur after a number of hours (for example, after 4 days) then it is likely to be due to the USB cable / USB port, computer hardware or the computer's operating system rather than a problem in the camera hardware. Using industrial-grade USB cables and computer hardware may help.
Intel's officially recommended USB cable suplier for the 400 Series cameras, Newnex, can supply industrial-grade USB cabling. Such cabling is useful for critical applications where frame-drops cannot be permitted, such as a medical scanner.
https://www.newnex.com/realsense-3d-camera-connectivity.php
You could also reduce demands on the computer's processor by offloading some of the work from the CPU onto the GPU graphics chip. On devices with an Nvidia GPU you can build the RealSense SDK with CUDA support. Alternatively, the RealSense SDK has a work-offloading mechanism called GLSL Processing Blocks that is vendor-neutral (it should work with any GPU brand, though there may not be noticeable improvement on low-power devices).
https://github.com/IntelRealSense/librealsense/issues/4905#issuecomment-533854888
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