Hi all, recently received a Nano 33 BLE Sense, a project I am working on is converting one of our Acute Lymphoblastic Leukemia classifiers to be compatible with this board. The images are images of peripheral blood samples and are 100px x 100px, around 21kb. The classifier expects the images to be this size.
I have thought of sending the images (one by one) from another bluetooth device to the board, saving/classifying and then deleting before the next image is sent.
I also though about uploading the image(s) rather than having the be received.
I realize storage capacity is most probably the biggest issue, probably the best way to do this is convert the image to bytes on the sender side, then there is no need to store the image.
What would be the best way to accomplish image classification based on points above, I am assuming the 3rd.
This is the first time I have worked with images on an Arduino so sorry for the noob question and thanks in advance to anyone can help with advice or provide links to documentation / similar projects so I can work it out.