Image acquisition method and device, electronic equipment and storage medium

Abstract

The embodiment of the invention discloses an image acquisition method and device, electronic equipment and a storage medium. The method comprises the following steps: collecting at least two frames of vehicle driving images when a driving vehicle triggers trip lines at at least two preset positions respectively; the method comprises the following steps: performing license plate recognition on at least two frames of vehicle driving images, and obtaining a target vehicle large image and a target license plate small image from each vehicle large image and each license plate small image of the at least two frames of vehicle driving images; and combining the large target vehicle image and the small license plate image obtained by screening to obtain a snapshot image of the driving vehicle. By adopting the scheme of the invention, the license plate small image and the vehicle large image are optimally selected and combined through license plate recognition of multiple frames of vehicle driving images, so that the license plate recognition accuracy of the driving vehicle can be effectively improved, and the vehicle large image and the license plate small image of each frame of vehicle driving image can be optimally combined and processed; the problem that a clear snapshot image cannot be obtained in a strong clockwise and backlighting scene and a traffic road section with relatively strong light interference is solved.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of monitoring, and in particular, to an image acquisition method, device, electronic equipment, and storage medium. Background technique [0002] In the intelligent transportation system (ITS) industry, the capture rate and recognition rate of license plates have always been the most intuitive indicators for detecting camera performance. Under the current conditions, the recognition rate of the license plate is already very high for general road sections and light intensity. However, on open road sections in plateau or plain areas or other conditions, there are strong forward and backlight scenes, which make the overall screen brightness of the captured pictures Under normal circumstances, the license plate is too bright or too dark, causing the license plate to be unrecognizable or misrecognized for a period of time. Therefore, how to optimize image capture is very necessary. Co...

AI Technical Summary

Problems solved by technology

Under the current conditions, the recognition rate of the license plate is already very high for general road sections and light intensity. However, on open road sections in plateau or plain areas or other conditions, there are strong forward and backlight scenes, which make the overall screen brightness of the captured pictures Under normal circumstances, the license plate is too bright or too dark, causing the license plate to be unrecognizable or misrecognized for a period of time

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