Hi @bc524
can you record and share an SVO in the same conditions so we can test it?
What settings are you using? Have you tried to reduce the depth confidence threshold?
I tried hanging a black cloth behind the board to try and make the distinction between the hole and the “wall” with still no luck. Reducing the depth confidence threshold did show some improvements but it only detected 3 out of the 4 holes at best.
Have also to move the board’s distance from the wall (both closer and further) and the camera’s position and angle without success.
Hi @bc524
I shared your SVO and your information with the R&D team, we will debug the behavior with your data and we will provide a fix with one of the next patches of the SDK.
What I can say is that it’s not easy for a pure visual stereo matcher algorithm to understand if the holes are drawn on the white plane or if they are part of the background.
That’s not even easy for the human eye because the holes do not have enough visual features to be matched.
A texturized background would be easier to be detected correctly.