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|1. (WO2018036276) IMAGE QUALITY DETECTION METHOD, DEVICE, SERVER AND STORAGE MEDIUM|
|Applicants:||PING AN TECHNOLOGY (SHENZHEN) CO., LTD.
|Title:||IMAGE QUALITY DETECTION METHOD, DEVICE, SERVER AND STORAGE MEDIUM|
The present invention relates to an image quality detection method, device, server and storage medium. The image quality detection method comprises: after a car insurance claim server receives an insurance claim photograph uploaded by a user terminal, performing, by using a pre-trained generated deep convolutional neural network model, sharpness identification on the received insurance claim photograph to determine a sharpness level of the insurance claim photograph; and if the sharpness level of the insurance claim photograph is lower than a preset sharpness level, sending a first reminder message to the user terminal to remind the user to re-upload an insurance claim photograph. The present invention performs sharpness identification on an insurance claim photograph by using a pre-trained generated deep convolutional neural network model, and guarantees that all insurance claim photographs uploaded by users can be accurately analyzed to obtain information of a car accident scene, thereby increasing the operation efficiency of a self-service insurance claim system and improving user experience.