I'm looking for some advice!
I just got a raspberry pi 5 board and I'm waiting on an NVMe base to arrive so I can attach a 1TB ssd. I'm still a novice when it comes to raspberry pi so I'm hoping to get some guidance on the best way to set it up and to retrieve the data that I record to my OneDrive account on a Windows.
For my graduate research I use three raspberry pi boards w/ HQ cameras (though I'm trying out a GS lens this time around) for digital image correlation. My current system consists of 3 zero W boards with HQ camera sensors and wide angle lenses. What I've done so far to synchronize my cameras is I use the parallel computing toolbox in Matlab to trigger all the cameras at the same time (I know there are other options for synchronizing but this has worked pretty well for me so far). For each camera/pi board, I save the file through Matlab to my computer and then write over that file on the pi for the next trial. I do this so that the 16GB micro sd card doesn't fill up during a set of trials and slow the pi down, and to avoid any data loss if something crapped out. However, saving the three videos (only ~1GB/video) takes a few minutes each time which significantly interferes with our data collection.
Cue the new pis and ssds...My thought is that each pi having a 1TB ssd will allow me to have enough storage space to run through an entire set of trials without having to retrieve the videos until the end (compared to the 16GB micro sd card). Then, at the completion of a set of experiments, I'd like to retrieve all of the video files for that participant before starting another participant (again to ensure no data is lost accidentally).
Any advice on what might be the most convenient / efficient way to transfer this data (maybe 30-50GB / camera) to the OneDrive folder on my computer? I just ordered a nvme ssd to usb adapter so would it be best to just take the ssd off each time and plug it into the computer? I imagine that's a fine option but it would be a hassle with the stereo vision camera setup to have to mess with the pis after each participant.
As I mentioned earlier too, I trigger the cameras through Matlab and have also used it to download the data so if there's a way to efficiently transfer the data using Matlab or a way to integrate it into Matlab that would probably be ideal.
I also noticed today that Matlab 2024a doesn't support the raspberry pi 5 board yet, does anyone know when that's supposed to change?
Thanks in advance and sorry for the ramble! I appreciate any advice anyone might have![:)]( "Smile")
I just got a raspberry pi 5 board and I'm waiting on an NVMe base to arrive so I can attach a 1TB ssd. I'm still a novice when it comes to raspberry pi so I'm hoping to get some guidance on the best way to set it up and to retrieve the data that I record to my OneDrive account on a Windows.
For my graduate research I use three raspberry pi boards w/ HQ cameras (though I'm trying out a GS lens this time around) for digital image correlation. My current system consists of 3 zero W boards with HQ camera sensors and wide angle lenses. What I've done so far to synchronize my cameras is I use the parallel computing toolbox in Matlab to trigger all the cameras at the same time (I know there are other options for synchronizing but this has worked pretty well for me so far). For each camera/pi board, I save the file through Matlab to my computer and then write over that file on the pi for the next trial. I do this so that the 16GB micro sd card doesn't fill up during a set of trials and slow the pi down, and to avoid any data loss if something crapped out. However, saving the three videos (only ~1GB/video) takes a few minutes each time which significantly interferes with our data collection.
Cue the new pis and ssds...My thought is that each pi having a 1TB ssd will allow me to have enough storage space to run through an entire set of trials without having to retrieve the videos until the end (compared to the 16GB micro sd card). Then, at the completion of a set of experiments, I'd like to retrieve all of the video files for that participant before starting another participant (again to ensure no data is lost accidentally).
Any advice on what might be the most convenient / efficient way to transfer this data (maybe 30-50GB / camera) to the OneDrive folder on my computer? I just ordered a nvme ssd to usb adapter so would it be best to just take the ssd off each time and plug it into the computer? I imagine that's a fine option but it would be a hassle with the stereo vision camera setup to have to mess with the pis after each participant.
As I mentioned earlier too, I trigger the cameras through Matlab and have also used it to download the data so if there's a way to efficiently transfer the data using Matlab or a way to integrate it into Matlab that would probably be ideal.
I also noticed today that Matlab 2024a doesn't support the raspberry pi 5 board yet, does anyone know when that's supposed to change?
Thanks in advance and sorry for the ramble! I appreciate any advice anyone might have
Statistics: Posted by anikak — Wed May 08, 2024 8:22 pm