Studying electronic blood pressure monitor digital recognition algorithm based on computer vision and design
نویسندگان
چکیده
This study proposed an intelligent algorithm based on digital image processing and character recognition to address the current situation in which National Medical Products Administration promulgated relevant regulations complete prohibition of use mercury sphygmomanometers 2020 currently widely used electronic need undergo regular verification quality testing. The made it possible automatically acquire sphygmomanometer indication value during assurance or verification. images were captured using a Raspberry Pi-connected video camera head; software development, automatic detection sphygmomanometer's was achieved by running computer vision-based OpenCV library Pi utilizing preprocessing techniques like scale transformation, grayscale conversion, Gaussian smoothing edge detection, segmentation. development devices for has technical foundation research design algorithm, certain reference instruments creation instrument recording devices.
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ژورنال
عنوان ژورنال: ??????????? ?????????, ??????? ? ??????????
سال: 2022
ISSN: ['2782-2826', '2782-2818']
DOI: https://doi.org/10.47813/2782-2818-2022-2-4-0264-0277