New Contributor
New ContributorThe depth accuracy of the 400 Series cameras is less than one percent of the distance from the object. So if the camera is 1 meter from the object, the expected accuracy is between 2.5 mm to 5 mm.
There are numerous environmental factors that can have an impact on accuracy. Also, in regard to technical factors, the 'RMS error' in the depth readings will increase as the distance from the object increases. It only becomes really noticeable at around the 3 m point though, so you should not experience much accuracy drift if using a distance between 100 and 1000 mm.
Pages 13 and 14 of Intel's excellent illustrated tuning guide provide information and charts about the camera's RMS error factor.
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New ContributorHi @MartyG,
I work for logistic company, we have a project measure dimensions small objects like USB, lipsticks, ... please see my attachment.
Follow this topic: https://github.com/IntelRealSense/librealsense/tree/master/wrappers/python/examples/box_dimensioner_multicam I have clone and run successfully, but we have a problem, with 2 cameras model D435i I have detected dimensions with not high accuracy. The dimensions which receives from 2 D435i are Length x Width x Height 1.7 x 7.3 x 2.1 (cm) , but real dimension are 1.5 x 7 x 1.5.
the distance from cameras to chessboard is 40 cm.
Kindly give me a advise to improve the result because our boss need more accuracy.
Thank you so much.
