New Contributor
New ContributorIt is not possible to achieve 100% accuracy, as the error factor (RMS Error) starts at around 0 at the camera lens and increases linearly over distance. It is expected that accuracy will be less than 1% of the distance of the observed object from the camera. For example, at 1 meter range this may convert to an expected accuracy of 2.5mm to 5mm. There are various factors, including environment and lighting, that can affect accuracy though.
The correct method is to start the program without any objects on the chessboard and allow the cameras to calibrate, and then only place the object on the chessboard when the program asks you to. Are you using the program this way, please?
New ContributorHi @MartyG ,
Sure, when I start the program without any object on the chessboard and after all calibrations finish the program shows the command line: place the box in the FOV of the view... I use it right, please?
And one more question, how about small objects such as lipsticks, USB, ...? with normal set up I saw the program can not detect them, so you have any idea for measurement dimensions them?
Thank you
New ContributorThe procedure that you describe is correct.
For the next test, please try aligning the box so that its edges line up with the squares instead of having the box point diagonally across the chessboard.
The cameras can measure objects that are the size of a USB stick or lipstick, but the box_dimensioner_multicam program was not designed for objects that small, but instead for the measuring of boxes.
The number of examples available of RealSense programs for taking measurements are very limited. If you are available to use Windows or Android, it may be worth considering a professional commercial RealSense 400 Series compatible software that has measuring functions, such as DotProduct Dot3D Scan:
