Image identification cooperative computation method and system based on neural network

Abstract

The invention provides an image identification cooperative computation method and system based on a neural network. A self-adaptive distributed cooperative computation architecture scheme of a mobileuser equipment terminal, a network edge terminal and a cloud server terminal is achieved, according to real-time performance of the user equipment terminal, network edge terminal communication equipment and a cloud server, in combination with context and structure and parameter information of a trained neural network model, computation tasks of the cloud server are distributed to the user equipment terminal and network edge communication equipment nodes, resources such as idle computation power and storage space of mobile user equipment and network edge basic communication equipment can be sufficiently used, and the problems of high deployment cost, high difficulty and long time delay of the cloud server under the situation of high concurrency of a user request are solved; accordingly, onthe premise that the development of an augmented reality application / activity is guaranteed, the computation stress of the cloud server can be relieved, and the purpose of short time delay of the augmented reality application is achieved.

Description

technical field [0001] The present invention relates to the field of augmented reality technology, and more specifically, to a neural network-based image recognition collaborative computing method and system. Background technique [0002] Augmented reality technology (Augmented Reality technique, referred to as AR technology) is a new technology that "seamlessly" integrates real world information and virtual world information. (such as visual information, auditory information, etc.) to simulate and simulate, and apply virtual information to the real world, so that it can be perceived by human senses and achieve a sensory experience beyond reality. Augmented reality technology integrates new technologies and means such as natural image recognition, multimedia, 3D modeling, multi-sensor fusion, real-time video display and control, real-time tracking and registration, and scene fusion. Bandwidth and latency have extremely high requirements. At the same time, augmented reality...

AI Technical Summary

Problems solved by technology

[0006] In order to solve the existing problems of difficult cloud server deployment, high cost, and long delay caused by uploading computing tasks to cloud servers in high-concurrency augmented reality application scenarios on the Web browser side, the present invention provides a neural network-based Image recognition collaborative computing method and system

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