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Elderly Guardian (My Pioneer 10 Project Challenge)

Hi everyone!My name is Brett, I am a full-time single dad, assistant soccer and softball coach, and software engineer based out of Portland, Oregon.For the Project Challenge, I’m building an AI-powered safety and wellness monitoring system for seniors living independently. The Elderly Safety Guardian will use computer vision with the Metis AI Accelerator to detect falls or unusual inactivity, and then check in with the resident through Alexa, turn on lights, and alert caregivers if needed. My goal is to give families peace of mind while helping elderly loved ones stay safe at home.This project matters to me because I’ve seen how difficult it can be for families to balance a loved one’s independence with their safety, especially as they get older. I want to create a solution that bridges that gap, empowering seniors to live confidently while still having support when it’s needed most.To start, I’ll be setting up the camera hardware and building out local fall and inactivity detection wi

2976

4 hours ago

moorebrett0Ensign

Project Challenge: Recognize & React

Update: Elderly Guardian

Hey everyone! Brett here, back from a much-needed family trip to Maui and excited to jump back into the Elderly Guardian Challenge.My Metis AI Accelerator System hardware arrived shortly before my trip, and I’ve successfully got the Metis board plugged in and recognized by my development machine. Huge thanks to the community and Axelera AI for making the setup process pretty straightforward, even after a few days away from the keyboard, it was simple to get started.Early Technical Progress:Right now, I’m focusing on the core of the project: real-time fall detection using computer vision. I’m currently wiring up YOLOv8 pose estimation on the Metis AI Accelerator System, leveraging its high-throughput performance to process camera feeds locally. Upcoming Integration Plans:Next steps will be integrating with Alexa for voice check-ins and automating responses (like turning on lights and notifying caregivers) based on the system’s alerts. I’ll also be refining my camera placement to maximiz

824

9 hours ago

mcunhaEnsign

Project Challenge: Recognize & React

Fixing Slow Python Network Performance on the AETINA RK3588

Hi,I recently faced a network speed issue on the AETINA RK3588 while running Python code.It was not a general network problem, because everything worked fine with curl.However, when executing Python code, it was very slow — even for downloading very small packages.This made it impossible to use download scripts such as:./download_prebuilt.py --allIt seems that the problem comes from IPv6 handling in Python.Two possible solutions1) Disable IPv6 system-wide# Disable at runtimesudo sysctl -w net.ipv6.conf.all.disable_ipv6=1sudo sysctl -w net.ipv6.conf.default.disable_ipv6=1# Make persistentecho "net.ipv6.conf.all.disable_ipv6 = 1" | sudo tee -a /etc/sysctl.confecho "net.ipv6.conf.default.disable_ipv6 = 1" | sudo tee -a /etc/sysctl.conf2) Patch the scripts (e.g., inference.py, download_prebuilt.py) to force IPv4Add the following at the top of the script:import socketorig_getaddrinfo = socket.getaddrinfodef getaddrinfo_ipv4(host, port, family=0, type=0, proto=0, flags=0): return orig_get

282

18 hours ago

alsuttonCadet

Metis PCIe

Power requirements and PCIe slots

I’m putting an idea out to see if anyone has some data to back a theory.I’ve been talking with @Spanner about some problems I was having with a card, and, after looking over everything I’ve done, I’m wondering if a 75W slot is *required* rather than recommended, which would mean you need to use a PCIe x16 slot.One issue I had with the card was a small v shaped cut-out in the full height PCIe back-plate, which meant that the card wouldn’t sit fully into any PCIe x16 slot that I had (photo attached so you can see what I mean). This meant I had to use a 8x or 4x slot.Looking through the PCIe spec, only 16x slots are supplied with 75W, meaning that the 8x and 4x slots I tried were limited to 25W (which I confirmed), which I’m thinking could be the cause of the problems I saw.I have a 2nd hand machine turning up next week which I can test this theory on more easily (eBay still is useful for some things), but I’m wondering whether the PCIe card should be sized for a 16x slot in order to ens

181

21 hours ago

MehmetYigitCadet

Metis M.2

Metis M.2 Accelerator Can't Recognized by Jetson AGX Orin

Hello.I recently received the m.2 metis accelerators and did a test on the boards provided by Axelera and got results close to the published benchmarks. It was succesful.I then connected these accelerators to the Orin (via the m.2 slot) in order to use them also for the my Jetson AGX Orin environment. But in the voyager-sdk installation i got “WARNING: Failed to refresh pcie and firmware” error. The installation completes but the accelerator device does not show up on my system. In lspci -tv command I get the output attached to this post. Can’t see metis there.I didn't see any information about the compatibility of these accelerators with Jetson systems (my m2 slot is M-key). If they are compatible, can you help me to fix the installation?Thanks :)

18111

21 hours ago

lorenzo.lambertiCadet

Voyager SDK

Firefly ITX-3588J : i can not load the metis board not detected

Hello everyone, I am trying to use the Metis PCIe (4GB) in combination with the firefly ITX-3588J.Issue: I can not load the Metis kernel module (driver) into the Linux kernelSetup: I have the Metis PCIe with 4GB of ram the Firefly ITX-3588J with 16GB of ram with a RockChip. OS: Ubuntu 22.04.4 LTS. I have a Gen3 Pcie with 4 lanes, details below``` LnkCap: Port #0, Speed 8GT/s, Width x4, ASPM L0s L1, Exit Latency L0s <4us, L1 <16us ClockPM- Surprise- LLActRep- BwNot- ASPMOptComp+``` So far:I installed the ubuntu OS as described here: https://support.axelera.ai/hc/en-us/articles/25556437653138-System-Imaging-Guide-Firefly-RK3588 I installed the latest 1.3.3 voyager sdk release. i can see the metis board from lspci``` firefly@firefly:~$ lspci | grep accelerators01:00.0 Processing accelerators: Axelera AI Metis AIPU (rev 02)```however, i do not detect any drivers for the board, even after installing the sdk. Both the following commands do not return anything:```

152

22 hours ago

PepijnCadet

Metis PCIe

deploy.py takes really long yolov8 model

Hi, I’m trying to deploy and inference with a yolov8 segmentation model. I tried to follow the tutorial, but I just get:INFO: deploying model yolov8sseg-coco for 4 cores. This may take a while… How long should this run? I left it on for 3.5 hours and nothing happened (except the loading bar). This seems to be a model included in your library: yolov8sseg-coco.Any idea if I can turn on more extensive logging to see what is happening? Thank you in advance!

9413

23 hours ago

llrdsEnsign

Project Challenge: Recognize & React

How to solve "ModuleNotFoundError: No module named 'axelera.app'"

When trying to run the application.py example, I get this error. The vent is activated. Per this thread I thought I could solve with a removal of the venv and reinstall but it’s being persistent now. Has anybody else found and overcome this?I’m using the Aetina Eval Board that came with the Project challenge kit.

575

1 day ago

HermioneCadet

Voyager SDK

inference.py quick start - import Gst failed ModuleNotFoundError

Hi,My goal is to try out a few tutorials with the latest SDK release. Looks like a python package is not found, any clues what I could try?System: Axelere M.2 Card with Aetina Eval SystemVoyager SDK v1.3.1 - a fresh install of the SDK this timeFirst installed the latest driver https://software.axelera.ai/artifactory/axelera-apt-source/metis-dkms/metis-dkms_1.0.2_all.debthen I ran the installer with./install.sh --all --media --user <email addr> --token <token>I got a few suspicious warnings and hit ‘y’ a number of times. Then install of 186 packages completed.[185/186] Install gstreamer1.0-rtspbuilding operatorsrefreshing pcie and firmware0000:01:00.0 : DeviceDevice 0: metis-0:1:0 1GiB m2 flver=1.2.0-rc2 bcver=1.0 clock=800MHz(0-3:800MHz) mvm=0-3:100%Installation complete, but with unresolved issues (see above) firefly@aetina:~/Documents/g2-testing/voyager-sdk$ source venv/bin/activate I proceeded to try inference.py with one of the included videos as input(venv) firefly@aet

685

1 day ago

llrdsEnsign

Project Challenge: Recognize & React

Life after application.py - Iterative testing and learning

Wanted to start this discussion with other challenge members to see where did you go after application.pyWhat I’m doingWhat is natural to me is to modify the standard example, application.py, the first thing I’m trying to do is swap the example for another one to get a feel for how it works. The standard example uses yolov5m-v7-coco-tracker, which I found in a reference folder, so I checked for other similar examples in that location.The problem is that this takes a while between deployments, sometimes will errors right at the point where it is complete which i’ll open another thread for.What I want to knowIs there a better way? What did the other people in the challenge do from application.py?

25833

2 days ago

alsuttonCadet

Metis PCIe

Power requirements and PCIe slots

181

21 hours ago

MehmetYigitCadet

Metis M.2

Metis M.2 Accelerator Can't Recognized by Jetson AGX Orin

18111

21 hours ago

lorenzo.lambertiCadet

Voyager SDK

Firefly ITX-3588J : i can not load the metis board not detected

152

22 hours ago

PepijnCadet

Metis PCIe

deploy.py takes really long yolov8 model

9413

23 hours ago

llrdsEnsign

Project Challenge: Recognize & React

How to solve "ModuleNotFoundError: No module named 'axelera.app'"

575

1 day ago

HermioneCadet

Voyager SDK

inference.py quick start - import Gst failed ModuleNotFoundError

685

1 day ago

llrdsEnsign

Project Challenge: Recognize & React

Can we control the fan speed on Aetina RK3588?

I have SDK Version 1.3.3, there is a comment in release notes about fan but it seems to be for the Metis. I saw already threads discussing the PCIe and M.2 fan speed on the Metis, this question is about the Aetina evalkit running at 100% fan all the time.There are none of these types of details in here.https://support.axelera.ai/hc/en-us/articles/22846665291794-AETINA-RK3588-Industrial-Motherboard-M-2I tried wider searching Aetina and Firefly on Google, there are some suggestion that control might be possible in /sys/class/hwmon but I could not find a match, or I should be looking for something else in there.Can I make the fan speed of the SBC by dynamic?

SiegfriedCadet

Hi,I was wondering if there exist an astral uv (pip alternative) build for the voyager-sdk?This would speed up setup of the sdk and allow easier merging with our development environment.Thanks in advance!

161

7 days ago

ku15921Cadet

Metis M.2

Error installing metis-dkms

Hi,I'm having trouble installing the metis-dkms driver. Can you help me?The device is a NanoPC-T6 from Friendly Elec, and the operating system is Ubuntu 22.04, also provided by Friendly Elec.I'm leaving the error message and OS information below. If there is any more information I should provide, please let me know. Thank you. The Error:$ sudo dpkg -i metis-dkms_0.07.16_all.deb(Reading database ... 155441 files and directories currently installed.)Preparing to unpack metis-dkms_0.07.16_all.deb ...Deleting module metis-0.07.16 completely from the DKMS tree.Unpacking metis-dkms (0.07.16) over (0.07.16) ...Setting up metis-dkms (0.07.16) ...Loading new metis-0.07.16 DKMS files...Building for 6.1.99Building for architecture aarch64Building initial module for 6.1.99ERROR (dkms apport): kernel package linux-headers-6.1.99 is not supportedError! Bad return status for module build on kernel: 6.1.99 (aarch64)Consult /var/lib/dkms/metis/0.07.16/build/make.log for more information.dpkg: error pro

25615

8 days ago

vpc_aiCadet

Voyager SDK

Trying to build the axstreamer and gstaxstreamer components

Hi Team,I’m working with the Voyager SDK (using docker container) and trying to build the axstreamer and gstaxstreamer components. The source files examples reference:#include <axruntime/axruntime.hpp> (examples/axruntime/axruntime_example.cpp)But I can’t find axruntime.hpp anywhere in the SDK.I’m planning to run inference using a webcam as the input on my mac, with a pipeline that includes ffmpeg and mediamtx for streaming.Is axruntime supposed to be part of the SDK repo, a separate dependency, or is there a script I missed?Thanks!Val.

242

8 days ago

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Power requirements and PCIe slots

Metis M.2 Accelerator Can't Recognized by Jetson AGX Orin

Firefly ITX-3588J : i can not load the metis board not detected

deploy.py takes really long yolov8 model

How to solve "ModuleNotFoundError: No module named 'axelera.app'"

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