I am in the process of creating a medical app, that will require to open the camera to scan and detect a patch stuck on the client's forearm.
The design of the patch is very specific, a 5x5cm square with some details around it.
I need a React Native plugin (or a component) that will work on both iOS and Android, to open the live view camera, and detect the patch and take a picture of it.
Once detected, it must display a colored canvas on top of the patch (or a white border around), then capture the picture, rotate the image properly, crop it to only keep the interesting part, and do a geometric transform to adjust the patch so it is fully facing the camera even if the picture was taken very slightly from the side, and return the image in a 500x500px dimension.
This plugin will rely on OpenCV to detect and analyze image (using Surf 128 algorithm most probably), so it not only requires a good React Native understanding, but also iOS and Android native dev.
If needed, we already coded in Swift the actual "detect / crop / rotate" specific image using OpenCV, I would gladly share the code if that helps you create the plugin faster.
Attached is the patch that we will have to detect through camera, and the output we expect.
The plugin can be inspired from already existing libraries:
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(except that these libraries detect "any" square items, when in our case we want to detect only one specific image)
My 8 years of R&D experience should be of interest to an ideal project like yours. In various capacities in image processing, computer vision and machine learning, leading to my present assignment as project manager, I Daha Fazla
Bu iş için 23 freelancer ortalamada €630 teklif veriyor
Hi, I am JianWei. I have read your description carefully. I have enough experiences with opencv and computer vision more than 8 years. And good at IOS. so I am sure that I can do it successfully. Regards.
i am intrested in this project and i already had experienced in this segment.i guarantee i will make this app efficient according to your requirement