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  • Not sure where your question goes? Ask here. ModalAI engineers and the community answer questions about any VOXL product.

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    Zachary Lowell 0Z
    https://www.loom.com/share/41699fad8b6842a6bf25c986c98c1c3b Had it running on 8 minutes via voxl-uvc-server. Can you confirm that you had good bandwidth the entire time? This is also over a microhard hat (although I have a wifi stick plugged into the usb port on here alongside the usb camera) This sounds more like a networking issue than anything hardware or software related.
  • VOXL 2, VOXL 2 Mini and VOXL 2 IO: bring-up, connectors, power, cameras, system image and SDK installs on the current compute platform.

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    Eric KatzfeyE
    Please provide a PX4 log.
  • Starling 2, Starling 2 Max, Sentinel, Seeker, m500, RB5, the PX4 Autonomy Developer Kit and Stinger FPV: flying, tuning, repairs and spare parts.

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    PQLP
    Michael, They take approximately 60 days to deliver once you put in a order.
  • Flight Core, Flight Core v2, Flight Core ArduPilot, the original VOXL, VOXL Flight, VOXL Flight Deck, VOXL-CAM and the older dev kits.

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    Alex KushleyevA
    @qqa , we have document how to achieve folder-level encryption on VOXL2 here : https://docs.modalai.com/enabling-file-encryption/ . Please let us know if you have any other questions.
  • ESCs, image sensors, ToF and tracking cameras, Microhard and cellular modems, power modules, GPS and other add-on boards.

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    ModeratorM
    We have added the pinouts here: https://docs.modalai.com/M0155/
  • voxl-sdk releases, MPA services, camera and video pipelines, Remote ID, and building and deploying your own software on VOXL.

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    Alex KushleyevA
    Hello @ישראל-בן-שלמה , Please see some options below and the recommendations at the end. For reliable VIO, we recommend dual tracking cameras. The tracking cameras are very light, so the extra 3 grams will give you lots of safety margin AR0144 is probably the best option since this is what we use. 2.2g with 80mm coax cable OV7251 camera (M0014) is probably the smallest (it is lower resolution also 640x480 vs 1280x800 for AR0144). ov7251 is EOL but it looks like we have some in stock. the weight of M0014 module is 0.5g (with the flex cable). However, to connect it to VOXL2 / mini, you would need an interposer like M0076 (0.6g) ( or M0135 (1.0g) IMX214 (M0025 module, https://docs.modalai.com/M0025/ ) may be the lightest 4K camera we have (0.7g with flex cable), but it is very old and sensor + lens quality is very far from our newer (and heavier) IMX412- and IMX664-based camera modules. Flir Boson 320 is a bit heavy too. The one i have with lens is about 23g. Most of the weight is the lens, i think. for connecting Boson to a Voxl2 Mini, you should use M0194 ( https://www.modalai.com/products/m0194 ) Boson → M0201 → coax → M0194 → VOXL 2 Mini J6 or J7? you can plug in another camera into M0194, such as AR0144 (coax version) or the IMX412 (coax version) The best option in terms of support (no EOL components) and hardware quality, would probably be: VOXL2 Mini (11g) M0195 (5.0g) -- see C43 configuration : https://docs.modalai.com/M0195/ Boson + M0201 + coax -> plugs directly into M0195. weight of M0201 + 80mm coax is 1.7g + 0.7g = 2.4g. Need to add weight of Boson! one or two AR0144 (M0166) -- 2.2g with 80mm cable (each) hires camera (IMX412) M0161 : 8.5g with 800mm coax cable Minimal Config VOXL2 Mini (11g) M0194 plugged into J7 (1.4g) + 80mm coax (0.7g) + M0201 (1.7g) + weight of Boson M0166 AR0144 (2.2g with 80mm coax) plugged into M0194 M0076 (0.6g) plugged into VOXL2 mini J6 M0025 IMX214 camera (0.7g) plugged into M0076 ** note that this is mixing the coax and non-coax cameras, but i think this should work. we would need to give this a quick test to make sure. Alex
  • GPS-denied navigation with VIO, AprilTag relocalization, mapping and path planning, and obstacle avoidance.

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    김진혁김
    Hi Zach, thanks for looking into this. OpenVINS package version voxl-open-vins-server 0.6.1 — that is the only OpenVINS-related package installed on this unit (dpkg -l | grep -i vins returns exactly one row; there is no separate open-vins library package). Still factory voxl-suite 1.6.4~beta5, never re-flashed. Performance mode test voxl-configure-cpu does not exist on this image, so I used voxl-set-cpu-mode perf (governor went schedutil -> performance, confirmed via /sys/devices/system/cpu/cpu0/cpufreq/scaling_governor). Please tell me if you meant a different tool. The result is that I could not reproduce the problem at all today — in either CPU mode. Condition VIO dt voxl-mapper output Fresh boot, schedutil, mapper off 33.3 ms - schedutil, mapper off, 2 min 33.3 ms (320 samples) - schedutil, mapper on, 2 min 33.3 ms (320 samples) working performance, mapper off 33.3 ms - performance, mapper on, 90 s 33.3 ms (240 samples) working performance, restart voxl-open-vins-server x5 33.3 ms every time (400 samples) - 23 measurements, ~1,760 samples, all 33.3 ms. Not a single 15 Hz reading. More importantly: voxl-mapper works now. voxl-inspect-points voxl_mapper_aligned_ptcloud produces real data — ~1,900 points per cloud, roughly every 500 ms in schedutil. On 22 Sep the same pipe showed the header and zero data rows. There are no pipe_server_write_point_cloud, received NULL data pointer and no requested timestamp was too new, VIO may have stopped messages in the journal at all today. voxl-mapper CPU is now ~100% of one core, versus the 1.9% I reported — it was low then because it was not actually doing any work. Performance mode does help the mapper, even though it did not change the VIO rate: the aligned point cloud comes out roughly every 95-190 ms instead of ~500 ms. What this suggests about the causality I think I had the direction backwards in my first post. The likely chain is: OpenVINS comes up at 15 Hz -> mapper cannot match pose timestamps ("requested timestamp was too new") -> no map output rather than "mapper is started -> VIO halves". That matches your static-jerk-throttle explanation: whatever decides the throttle is decided at VIO init, and on 22 Sep the vehicle happened to be in that state for the whole session (my very first reading that day, right after boot and before voxl-mapper had ever been started, was already 15 Hz). Nothing was changed in between: dpkg status and voxl-open-vins-server.conf / voxl-camera-server.conf are untouched since 21 Sep. So the difference is runtime state, not configuration. One observation that may not fit the throttle theory Today the vehicle is completely static and features reads 0, yet VIO runs at 30 Hz. On 22 Sep it was showing features 20 and quality 97% while stuck at 15 Hz. If the throttle is permitted by a static-jerk test, I would have expected today's fully static case to be the one that throttles. Is the test based on IMU motion rather than tracked features, and is there any way to see its decision at runtime? Remaining questions Is there a log line, pipe field, or debug flag that shows whether the throttle is currently engaged? Right now the only way I can tell is by timing the output, and the state is invisible in state / quality / features. Was the throttle behaviour changed after 0.6.1? If a newer voxl-open-vins-server fixes it, which SDK version should we move to? Given it is intermittent, is it safe to treat "dt == 33.3 ms" as a pre-flight check, or is there a more reliable condition we should test before an autonomous flight? I will keep the vehicle in performance mode and report back if the 15 Hz state shows up again, with the full journal from that boot. Thanks, JinHyeok
  • Answers to the questions we get most often, written by ModalAI.

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    J
    Hello. Can a Starling 2 drone autonomously fly while flying over the pipe inside a sewer? The drone must fly autonomously in a dark place to inspect cracks or internal conditions while flying along the water pipe. I'm not sure if this feature can run on Starling, so I'm asking for help!
  • Have an idea for our products or software you would like to see implemented? Tell us here.

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    Serhii RovnyiS
    Hello everyone, I am looking for some expert advice on a VOXL 2 companion computer setup for a long-range platform. I have two main integration challenges: Challenge A: VIO at Higher Altitudes To solve the motion blur and pixel density issues at higher altitudes, I am planning a 6-camera configuration. I want to use 4 downward-facing sensors (2 daylight + 2 IR) equipped with narrow-angle lenses, alongside 2 standard wide-angle sensors (front and rear). Could you advise on the best supported sensors (e.g., IMX series) for this? Has anyone successfully tuned the voxl-qvio-server for narrow-angle lenses, and what were the altitude limits you achieved? Challenge B: LAN Integration & WireGuard The payload data flow will be: External RTSP Camera -> Ethernet -> VOXL 2 (WireGuard encryption) -> Ethernet -> Digital RX. Because VOXL 2 lacks multiple LAN ports, I will need a miniature industrial Ethernet switch. Does ModalAI have any tested hardware recommendations for this? Furthermore, what is the best practice for routing this VPN traffic through the VOXL 2 Ubuntu environment without bottlenecking the CPU? We are currently evaluating the VOXL 2 for a broader fleet deployment and want to ensure the ecosystem can support this custom optics requirement. Any feedback on off-the-shelf solutions or standard configurations for this use case would be greatly appreciated. Thank you!
  • Ask ModalAI to review your PCB, connector choices or system architecture before you build, and find 3D models of our products.

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    VinnyV
    Hi, This post is quite old now, so going to mark it as resolved. If it is not, please start a new topic in the correct category for your needs. Thanks!