Method and device for realizing soft photosensitivity based on deep learning, terminal and storage medium

Abstract

The invention is suitable for the technical field of computer vision, and provides a method and a device for realizing soft photosensitivity based on deep learning, a terminal and a storage medium, and the method for realizing soft photosensitivity based on deep learning comprises the steps: obtaining a target day and night prediction model corresponding to a current working mode of an image collection device; based on N frames of images continuously acquired by the image acquisition device in the current working mode, target input information corresponding to the target day and night prediction model is acquired, and N is an integer greater than zero; inputting the target input information into the target day and night prediction model to obtain the current environment of the image acquisition device; and if the current environment is not matched with the current working mode, controlling the image acquisition device to be switched to a working mode matched with the current environment. According to the scheme, the hardware cost and the labor cost can be reduced, and the switching precision of the working modes of the image acquisition device is improved.

Description

technical field [0001] The present application belongs to the technical field of computer vision, and in particular relates to a method, device, terminal and storage medium for realizing soft light sensitivity based on deep learning. Background technique [0002] With the more and more widespread application of video surveillance, 24-hour uninterrupted monitoring has become the basic requirement for the work of image acquisition devices (such as cameras). When the application environment of image acquisition devices is daytime, image acquisition devices can use visible light to shoot and Acquire video images, but when the application environment of the image acquisition device is at night, there is no visible light and the environment is dark, and the image acquisition device cannot directly capture the surrounding video images. In this case, infrared lamps are usually used to emit infrared rays to illuminate the surrounding environment. The picture formed by infrared reflec...

AI Technical Summary

Problems solved by technology

[0003] The above-mentioned control of filter switching through photoresistors is usually called a hard photosensitive solution because a photoresistor is added to the camera. This method has high hardware and labor costs, and is prone to factors such as the installation position of the photoresistor and device aging , reducing the switching accuracy of the working mode of the image acquisition device

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