Method, system, electronic device, and medium for classifying license plates based on deep learning
First Claim
1. A method of classifying license plates based on deep learning, wherein the method is applied to an electronic device and comprises the steps of:
- acquiring at least one photograph sent by a terminal device, the acquired photograph having license plate information of at least one vehicle;
preprocessing the acquired photograph to obtain at least one photograph matches a plurality of input parameters of a pre-trained recognition model; and
inputting the preprocessed photograph to the pre-trained recognition model to recognize vehicle use information corresponding to the preprocessed photograph based on the corresponding license plate information, and sending the vehicle use information to the terminal device, wherein the terminal device comprises a vehicle-use-recognition operation interface including a single-photograph recognition control and a multi-photograph recognition control;
if the acquired photograph is a single photograph of a vehicle, receiving a first instruction for recognizing vehicle use information of the single photograph having license plate information of the vehicle sent by the terminal device, and sending the vehicle use information of the single photograph to the terminal device, wherein the first instruction is issued through the single-photograph recognition control to the electronic device;
orif the acquired photograph comprises multiple photographs of a plurality of vehicles, receiving a second instruction for recognizing vehicle use information the multiple photographs having license plate information of the plurality of vehicles sent by the terminal device, and sending a title of each of the multiple photographs as well as the corresponding vehicle use information of each of the multiple photographs to the terminal device, wherein the second instruction is issued through the multi-photograph recognition control to the electronic device.
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Accused Products
Abstract
The present invention discloses a method, a system, an electronic device, and a medium for classifying license plates based on deep learning that are applied to an electronic device. The method includes: acquiring at least one photograph sent by a terminal device; preprocessing the acquired photograph such that the preprocessed photograph matches a plurality of input parameters of a pre-trained recognition model; and inputting the preprocessed photograph to the pre-trained recognition model to recognize corresponding vehicle use information of the photograph, and sending the corresponding vehicle use information of the photograph to the terminal device. Thus, with this disclosure, the use of a vehicle in a photograph can be automatically and accurately recognized and further the photographs can be accurately classified, thereby improving the accuracy as well as the efficiency.
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Citations
17 Claims
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1. A method of classifying license plates based on deep learning, wherein the method is applied to an electronic device and comprises the steps of:
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acquiring at least one photograph sent by a terminal device, the acquired photograph having license plate information of at least one vehicle; preprocessing the acquired photograph to obtain at least one photograph matches a plurality of input parameters of a pre-trained recognition model; and inputting the preprocessed photograph to the pre-trained recognition model to recognize vehicle use information corresponding to the preprocessed photograph based on the corresponding license plate information, and sending the vehicle use information to the terminal device, wherein the terminal device comprises a vehicle-use-recognition operation interface including a single-photograph recognition control and a multi-photograph recognition control; if the acquired photograph is a single photograph of a vehicle, receiving a first instruction for recognizing vehicle use information of the single photograph having license plate information of the vehicle sent by the terminal device, and sending the vehicle use information of the single photograph to the terminal device, wherein the first instruction is issued through the single-photograph recognition control to the electronic device;
orif the acquired photograph comprises multiple photographs of a plurality of vehicles, receiving a second instruction for recognizing vehicle use information the multiple photographs having license plate information of the plurality of vehicles sent by the terminal device, and sending a title of each of the multiple photographs as well as the corresponding vehicle use information of each of the multiple photographs to the terminal device, wherein the second instruction is issued through the multi-photograph recognition control to the electronic device. - View Dependent Claims (2, 3, 4, 5, 6)
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7. An electronic device comprising a processing device, a storage device, a system for classifying a plurality of license plates based on deep learning stored in the storage device and at least one computer-readable instruction, wherein the computer-readable instruction is executable by the processing device to perform the following operations:
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acquiring at least one photograph sent by a terminal device, the acquired photograph having license plate information of at least one vehicle; preprocessing the acquired photograph to obtain at least one photograph matches a plurality of input parameters of a pre-trained recognition model; and inputting the preprocessed photograph to the pre-trained recognition model to recognize vehicle use information corresponding to the preprocessed photograph based on the corresponding license plate information, and sending the vehicle use information to the terminal device, wherein the terminal device comprises a vehicle-use-recognition operation interface including a single-photograph recognition control and a multi-photograph recognition control; if the acquired photograph is a single photograph of a vehicle, receiving a first instruction for recognizing vehicle use information of the single photograph having license plate information of the vehicle sent by the terminal device, and sending the vehicle use information of the single photograph to the terminal device, wherein the first instruction is issued through the single-photograph recognition control to the electronic device;
orif the acquired photograph comprises multiple photographs of a plurality of vehicles, receiving a second instruction for recognizing vehicle use information the multiple photographs having license plate information of the plurality of vehicles sent by the terminal device, and sending a title of each of the multiple photographs as well as the corresponding vehicle use information of each of the multiple photographs to the terminal device, wherein the second instruction is issued through the multi-photograph recognition control to the electronic device. - View Dependent Claims (8, 9, 10, 11, 12)
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13. A non-transitory computer-readable storage medium, wherein the computer-readable storage medium comprises at least one computer-readable instruction executable by a processing device to perform the following operations:
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acquiring at least one photograph sent by a terminal device, the acquired photograph having license plate information of at least one vehicle; preprocessing the acquired photograph to obtain at least one photograph matches a plurality of input parameters of a pre-trained recognition model; and inputting the preprocessed photograph to the pre-trained recognition model to recognize vehicle use information corresponding to the photograph based on the corresponding license plate information, and sending the vehicle use information to the terminal device, wherein the terminal device comprises a vehicle-use-recognition operation interface including a single-photograph recognition control and a multi-photograph recognition control; if the acquired photograph is a single photograph of a vehicle, receiving a first instruction for recognizing vehicle use information of the single photograph having license plate information of the vehicle sent by the terminal device, and sending the vehicle use information of the single photograph to the terminal device, wherein the first instruction is issued through the single-photograph recognition control to the electronic device;
orif the acquired photograph comprises multiple photographs of a plurality of vehicles, receiving a second instruction for recognizing vehicle use information the multiple photographs having license plate information of the plurality of vehicles sent by the terminal device, and sending a title of each of the multiple photographs as well as the corresponding vehicle use information of each of the multiple photographs to the terminal device, wherein the second instruction is issued through the multi-photograph recognition control to the electronic device. - View Dependent Claims (14, 15, 16, 17)
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Specification