US 11,996,193 B2
Systems and methods for optical character recognition of text and information on a curved surface
William E. Becorest, San Diego, CA (US); and Yongkeng Xiao, San Diego, CA (US)
Assigned to Givatar, Inc., San Diego, CA (US)
Filed by GIVATAR, INC., San Diego, CA (US)
Filed on Nov. 7, 2022, as Appl. No. 17/982,331.
Application 17/982,331 is a continuation of application No. 17/216,181, filed on Mar. 29, 2021, granted, now 11,495,019.
Claims priority of provisional application 63/001,058, filed on Mar. 27, 2020.
Claims priority of provisional application 63/001,002, filed on Mar. 27, 2020.
Claims priority of provisional application 63/001,017, filed on Mar. 27, 2020.
Claims priority of provisional application 63/001,010, filed on Mar. 27, 2020.
Prior Publication US 2023/0055837 A1, Feb. 23, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G16H 40/67 (2018.01); G06F 18/21 (2023.01); G06N 5/02 (2023.01); G06T 5/50 (2006.01); G06T 11/00 (2006.01); G06T 13/40 (2011.01); G06V 20/20 (2022.01); G06V 20/62 (2022.01); G06V 30/10 (2022.01); G06V 30/14 (2022.01); G16H 70/40 (2018.01)
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
OG exemplary drawing
 
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.