CPC G16H 40/67 (2018.01) [G06F 18/2163 (2023.01); G06N 5/02 (2013.01); G06T 5/50 (2013.01); G06T 11/00 (2013.01); G06T 13/40 (2013.01); G06V 20/20 (2022.01); G06V 20/63 (2022.01); G06V 30/141 (2022.01); G16H 70/40 (2018.01); G06T 2207/20221 (2013.01); G06V 30/10 (2022.01)] | 8 Claims |
1. A method for optical character recognition of text and information related to prescription label content on a curved surface, comprising:
activating an image capture device;
scanning of a surface using the image capture device in order to acquire a plurality of scans of sections of the surface;
performing Optical Character Recognition (OCR) on the plurality of scans to generate OCRed content;
separating the OCRed content into layers for each of the plurality of scans;
merging the separated layers into single layers; and merging the single layers into an image;
identifying a template associated with the image, and extracting text and information from the image based on the identified template,
storing the text and information in the form of a virtual label;
using computer vision via an image capture device to quickly and accurately recognize a patient's pill with every dose taken and validating the medication based thereon;
engaging a conversational artificial intelligence (AI) for real-time verbal question and answer interactions with a user regarding at least some of: medications, drug schedules, general health and wellbeing, contraindications, and capture patient input on medication use and effectiveness related to the virtual label.
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