END-EDGE-CLOUD COORDINATION SYSTEM AND METHOD BASED ON DIGITAL RETINA, AND DEVICE

Provided in the present application are an end-edge-cloud coordination system and method based on a digital retina, and a device. The coordination system may include, but is not limited to, a front-end device, an edge device, and a cloud device. The front-end device is used for extracting, from collected video data, features having universality, and is used for generating analysis and recognition tasks on the basis of the features. The front-end device is also used for processing the analysis and recognition tasks, so as to obtain a first intermediate result to be sent to the edge device. The edge device is used for processing the analysis and recognition tasks on the basis of the first intermediate result, so as to obtain a second intermediate result to be sent to the cloud device. The cloud device is used for processing the analysis and recognition tasks on the basis of the second intermediate result, so as to obtain an analysis and recognition result for video data. By means of a coordination system architecture provided in the present application, computing coordination, feature coordination, and model coordination can be achieved. Therefore, the technical solution of the present application has the advantages of high efficiency, etc., and is well suited for processing a large amount of video data.