hello.
We'll take your suggestion into consideration and give it a try. We've been holding off on testing QR codes for now for a future update. We will ask further questions after testing. Thank you! :)
안녕하세요. 오랜만에 소식을 전해드리겠습니다.
개선되지 않고 있으므로 테스트 환경 구성의 사진을 보내 주시겠습니까?
Hi,
our benchmark setup uses an office environment with ~700 lux diffuse lighting. No direct light close to the QR code, and no reflective surfaces. Lower lighting levels and unfavorable environments can lower the detection and tracking distance. This setup has ~3m tracking and ~2m detection distance using a 10cm V1 QR code
Here a picture:
hello. I'm writing to get a little more specific information.
1. what resolution did you use?
2. What is the range when tested with a 5cm QR Code.
3. what version of Unity, Android, and SDK did you experiment with?
I was testing on version 0.21 for reference.
Unity version is 2021.3.32f1.
Android version is 13.
When I tested with the website you sent https://www.nayuki.io/page/qr-code-generator-library I choose the option vector which doesn't really have a resolution.
The resolution should be as high as possible or vector for the best result.
We only have official benchmark tests for 10cm QR codes, but my personal testing showed a distance of ~1.2m for a 5cm Version 1 code.
Our tests were conducted with Snapdragon Spaces 0.21.0, 0.20.0, and 0.19.1. Android 13 on the phone and Unity 2021.3.16.
What's the firmware on your glasses? You can check it in TR Hub > About when the glasses are plugged in. It should include 1127 as the first 4 digits after user.
I have checked the firmware.
A3 Home version: 1.4.0.276
A3 firmware version: A3_user_S1040001_2208180059_sdm710_postcs8
A3 Core version: 2.1.2
App Space Service version: 2.06.01.2058
in the file.
The 1127 numbering does not seem to be included.
To add something more.
I set the QR image to svg for testing.
I'm using a Motorola Edge Plus and I'm using the
Build number is TISHS33.35-23-22-8.
Please check the firmware version of the A3 glasses themselves as well. Here's how to find it:
1. Open TR Hub and press the menu button in the upper left corner
2. Choose About
3. Check the firmware. In the screenshot below the firmware is A3_user_S1040[...]
Please check if your glasses are using the latest firmware which starts with A3_user_S1127[...]
정말 업데이트해야 하나요?
A3 Home version: 1.4.0.276
A3 firmware version: A3_user_S1040001_2208180059_sdm710_postcs8
A3 Core version: 2.1.2
App Space Service version: 2.06.01.2058
It says
As I said yesterday, it doesn't say 1127.
Do I really need to update?
Yes, this could explain the lower detection and tracking distance you are seeing. Please take a look at this guide: Upgrade to Android 13 | Snapdragon Spaces™ Unity and Unreal SDKs (qualcomm.com). Your message from yesterday was marked as spam and I didn't see it at first. Sorry about that!
내 모토로라 휴대폰의 앱은 TR Hub가 아니라 A3 Companion이라고 합니다.
보내주신 링크를 따라가려고 했는데
휴대폰과 A3를 연결하면 A3 Companion에 A3 Home, 펌웨어, Core 버전 및 Space Service 버전이 표시되지만 A3를 업데이트하라는 메시지는 표시되지 않습니다.
앞서 말했듯이 펌웨어 버전은 A3_user_S1040001_2208180059_sdm710_postcs8입니다.
업데이트하려면 업데이트 창이 나타나야 하지만 표시되지 않습니다. 이 경우 어떻게 해야 합니까?
번역 www.DeepL.com/Translator (무료 버전)
I deleted the app called Companion and TR Hub installed fine. I got the update and the A3's update changed to the version with 1127.
TR Hub version: 01.07.01.4
TR Home hasn't downloaded anything yet.
A3 firmware version: A3_User_S1127001_2303071610_sdm710_postcs8
When I received the update normally
the recognition rate improved slightly, but not as much as you said.
2 meter recognition /3 meter max distance you mentioned.
Currently we are at 1 meter recognition / 2 meter max range.
Also, the recognition rate drops significantly when the QR is not a forward facing image. (Recognition rate for QR images rotated 90~270 degrees) Could you please test this as well? Looking forward to your reply, thanks for your efforts.
Translated with www.DeepL.com/Translator (free version)
I'd like to talk about this in more detailed numbers.
1. 10cm recognition rate is limited to 2.5m.
2. 5cm recognition rate is limited to 1.3 meters.
3. The recognition distance and the maximum distance are the same.
4. recognition is unstable even if my vision is not moving fast (Ex: if I move forward, backward, left, right while staring at the QR, it will be interrupted and then recognized again)
Hi,
Unfortunately we don't have benchmarks on different detection angles. We adapted our QA plan for the future to encompass different detection angles. When there are first results, I plan on updating the documentation with a chart.
You already seem to have solved this by yourself - the Companion app is deprecated and was replaced with TR Hub by Lenovo. The firmware of your glasses seems up to date now.
Do you perhaps have a second pair of glasses to test? Are you using the original USB C cable coming from Lenovo? I'd like to make sure there is no hardware defect in your device camera, or a broken/low quality USB-C cable that limits the detection and tracking distances.
On point 1 & 2: Your recognition distances are very close to ours now and just about 20% lower for both marker sizes. I could imagine that this is caused by environmental influences.
On point 3 The recognition distance should be lower than the tracking distance. Just to confirm - if you follow these steps you see the same distance for both?:
1. Walk towards the QR code, measure the distance until it is recognized --> Recognition/Detection Distance
2 Walk backwards away from the QR code and measure the distance until it is lost --> Tracking Distance
On point 4: The A3 camera is a fixed focus one with rather high exposure time which is not optimal for image or QR code tracking usecases. The high exposure in combination with faster than normal head movements cause significant blur on the texture that is used to track the QR code. Depending on environmental conditions, distance to the target the tracking may get.
If you are able to send me a video captured with TR Cast or even just screenshots, I may be able to confirm more. Without more visual data it's rahter hard for me to come to conclusions here.
Crom
We need data on our current direction, so we need to use Aruco instead of QR codes. However, it seems that Aruco recognition is currently not working. Is this intentional? If not, do you have plans to support Aruco or various other markers in the future?
Additionally, I noticed on the official website that there is information about 3D object recognition feature, not just image tracking technology, which is not present in the documentation. Will the ability to recognize 3D objects be added in future versions? If so, when can we expect this addition?
The current version is 0.21.1 and is in testing.
Please check it out and get back to us.