A Communication Method Based on Digital Retina System
A retinal and digital technology, applied in transmission systems, electrical components, etc., can solve problems such as inability to guarantee efficient storage, inability to shoot high-quality video encoding and visual feature extraction encoding, and inability to support big data query and analysis, etc., to achieve high efficiency storage effect
Active Publication Date: 2022-08-09
PENG CHENG LAB
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[0004] The technical problem to be solved by the present invention is to provide a communication method based on the digital retina system in view of the above-mentioned defects of the prior art, aiming to solve the problem that the communication method in the prior art cannot perform high-quality video coding and visual characteristics of the captured video. Extraction and encoding cannot guarantee efficient storage, cannot support big data query analysis, and cannot support in-depth intelligent video encoding and feature analysis between end devices (end), edge services (edge), and cloud services (cloud) at the same time Problems of Adaptive Migration, Compression, Update and Transformation of Learning Models
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[0065] The present invention discloses a communication method based on the digital retina system. In order to make the purpose, technical solution and effect of the present invention clearer and clearer, the present invention is further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.
[0066] It will be understood by those skilled in the art that the singular forms "a", "an", "the" and "the" as used herein can include the plural forms as well, unless expressly stated otherwise. It should be further understood that the word "comprising" used in the description of the present invention refers to the presence of stated features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, Integers, steps, operations,...
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The present invention discloses a communication method based on the digital retinal system that includes: build a digital retina system; according to the digital retina system, the communication protocol between the end device, the edge server and the cloud server;Agreement, registration, cancellation, configuration, function definition, model issuance, model acquisition, feature flow push, result flow push, video flow push and acquisition, state report, control instructions and extract videos, pictures, pictures, pictures, pictures, pictures, pictures, pictures, pictures, pictures, pictures, pictures, pictures, pictures, pictures, pictures, pictures, pictures, pictures, pictures, pictures, pictures, pictures, pictures, pictures, pictures, pictures, pictures, pictures, pictures, pictures, pictures, pictures, pictures, pictures, pictures, pictures, pictures, pictures, pictures, pictures, pictures, pictures, pictures, pictures, pictures, pictures, pictures, pictures, pictures, pictures.As a result of the algorithm, the communication between the information between the end device, the edge server and the cloud server.Through the communication method of this embodiment, it can ensure efficient storage, support big data query analysis, and support smart video coding and feature analysis between end device (end), marginal services (edge), cloud services (cloud).Deep learning model adaptive migration, compression, update and conversion.
Description
technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a communication method based on a digital retina system. Background technique [0002] The traditional camera just compresses the captured video data and uploads it to the cloud server for storage, and then performs analysis and identification processing; it cannot perform high-quality video encoding and visual feature extraction encoding for the captured video, cannot guarantee efficient storage, and cannot support big data queries Analysis, but also cannot support adaptive migration, compression, update and conversion of deep learning models for intelligent video coding and feature analysis between end devices (ends), edge services (edges), and cloud services (clouds). [0003] Therefore, the existing technology still needs to be improved and developed. SUMMARY OF THE INVENTION [0004] The technical problem to be solved by the present invention is to provide...
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IPC IPC(8): H04L65/1104H04L65/65H04L67/02H04L67/10
CPCH04L67/02H04L67/10H04L65/1104H04L65/65
Inventor 高文王耀威胡启帆
Owner PENG CHENG LAB