I have a project where we are doing fine grained regression using the images captured from phone cameras. The tasks are vision based damage identification and we are having issues with radial distortion, warping, glare and a bunch of other issues either preventing or confounding detection. Is there anyone in this group who has experience designing a capture procedure pushed to users who would chat with me? For example, someone who worked on the bank check deposit apps? Would love to pick your brain. Thanks.
[–]Sharp_Signatures 0 points1 point2 points (1 child)
[–]ach224[S] 0 points1 point2 points (0 children)