The Design of Biomedical Validation Model Based on COT Image Recognition Scheme
With the rapid development of artificial intelligence, it is no longer a myth to replace medical personnel with robots. Terence Shenovsky’s book 《Deep Learning: The Core Drivers of the Smart Age》predicts that “big data-based deep learning will change the medical industry, providing faster, more accurate diagnosis and treatment of disease, even Cancer will become no longer terrible in the future.”
Recently, the COT (Chains of Things) team has completed the image recognition scheme and algorithm analysis based on the COT platform, and developed the verification model of AI diagnosis as the application scenario, and obtained the preliminary exploration of the IoT artificial intelligence in the biomedical field combined with the blockchain. As a result, a prototype test model will be launched in the near future.
The user’s facial features can generate a blockchain identity card,which can be enhanced by decentralized collaborative data.
The verification model enhances processing, feature extraction, and edge detection for images of a given size, color, texture, etc. through a COT image recognition scheme. By identifying the user’s basic physical characteristics, such as diet, body health index, sleep, etc., after intelligent analysis and comparison, the user’s physical fitness is simply evaluated. At the same time, our verification model system will provide a personalized health management program, and it will identify the risk of diseases earlier.
COT image recognition scheme is an important infrastructure of intelligent hardware platform, which can be used for face recognition, identity recognition, 3D scene reconstruction, object recognition, AI diagnosis, image analysis, target tracking and other scenarios. At the same time, combined with the COT block-based object identification board solution, COT can make a trusted optional offline digital signature for the identification image and generate a data COT ID to protect user’s privacy and information confirmation. In this way, the “person” and “thing” values can be coordinated and trusted services and interactions can be realized to help the real economy.
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