ModalAI Forum

@Alex-Kushleyev I found that buying an off-the-shelf raspberry pi heatsink that is 14mm x 10mm (meant for the RAM chip) and combining with a fan works great for the underside of the SIP (on the opposite side of where the main board joins the Ethernet/USB board. Brought my temps down by at least 10-20 degrees even under intense load.

Hello,

I have the Voxl2 in an enclosure and it appears to be suffering from thermal throttling when the CPU hits 95 degrees. Is there a heat sink that Modal recommends for the Voxl2, I could only find this fan in your products:

VOXL Cooling Fan

Cooling fan (MC25060V1-000U-A99) with connector (SHR-02V-S) ready to be used with VOXL J6.  This is what we install on the VOXL Flight Deck and m500. The fan measures 25 x 25 x 6.8mm

ModalAI, Inc. (www.modalai.com)

The RB5 development kit includes a thermal plate and an optional heat sink + fan can be purchased from Thundercomm:
https://www.thundercomm.com/product/heatsink-with-fan/

Is there anything planned like this for the Voxl2?

Hello,

I am using the VOXL2 with the Hadron 640R. I was originally using a standard RB5 with the Hadron 640R development kit and flashed with the FLIR Ubuntu 18 image. In order to record in Python on my original RB5 implementation I used a GStreamer Record Pipeline set up like this in Python:

    record_pipeline = (
        f"qtiqmmfsrc name=qmmf ! "
        f"video/x-h264,profile=high,width={self.width},height={self.height} ! h264parse ! "
        f"splitmuxsink max-size-time={segment_ns} muxer=mp4mux location=\"{location_pattern}\""
    )

It appears on the VOXL2 this pipeline does not work, what is the pipeline that I should use to accomplish this, as I would prefer not to use RTSP. Our overall goal is a low latency stream in Python that we were able to accomplish on a standard RB5.

Thanks in advance!