Image data acquisition and processing method and system, intelligent camera and server

Abstract

The invention relates to an image data acquisition and processing method and system based on an artificial intelligence technology, an intelligent camera and a server. The method comprises the following steps: image data is acquired by using an intelligent camera; furthermore, a first AI calculation model integrated in the intelligent camera is used for carrying out AI calculation processing on the acquired image data; the required effective image information is identified and extracted from the image information; finally, the effective image information rather than the original image data istransmitted to the server. Visibly this, the invention provides an edge calculation model for image acquisition and processing at a camera end. Based on the model, a processing task of image data canbe transferred from a server side to a camera side of a network edge node for execution. Thus, invalid data in the acquired image data can be directly filtered at the camera end of the network edge node, the subsequent data transmission amount is effectively reduced, the occupation amount of network resources in the data transmission process is reduced, and the data transmission delay is reduced.

Description

Technical field [0001] This application belongs to the technical field of information collection and processing of the Internet of Things based on artificial intelligence, and in particular relates to a method, system, smart camera, and server for collecting and processing image data. Background technique [0002] In the Internet of Things environment, traditional data collection is usually based on a central computing model. Take the collection of image data as an example. Under the central computing model, such as figure 1 As shown, each camera first collects images (such as taking images or recording video streams, etc.), and then transmits the collected image data to the server in the data center through the gateway device, and then the server extracts the collected images based on the corresponding AI algorithm Effective image information (such as face data, vehicle information, etc.), and the extracted effective image information is stored in the data center for subsequent d...

AI Technical Summary

Problems solved by technology

[0003] This kind of data collection method based on the central computing model, because the required data processing needs to be performed on the server side of the data center, the camera needs to transmit the full amount of original image information collected to the server, which will inevitably lead to a large amount of data transmission , the data redundancy is large, and a large amount of data transmission often requires a large network bandwidth and a long data time consumption, so this method has defects such as needing to occupy more network resources and large data transmission delay

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