A method for managing a camera device of a public landscape in a smart city, which is implemented by at least one processor of an Internet of Things (IoT) system for managing the camera device of the public landscape in the smart city, the system further including a plurality of user platforms, a service platform, a management platform, and a plurality of object platforms, wherein different user platforms correspondently play landscape images collected by different camera devices, and different object platforms are correspondently arranged in camera devices at different camera points;
- the method comprising:
- counting, based on the service platform, a count of audience of the landscape images corresponding to the different user platforms in a preset future duration, and sending the count of the audience to the management platform, wherein the count of audience of the landscape images corresponding to the different user platforms in the future duration is determined through processing the count of the audience of the landscape images in a preset historical duration based on a prediction model, and the prediction model is a machine learning model;
- and
- determining, based on the management platform, a camera device to be canceled, the camera device to be canceled being a camera device corresponding to a landscape image whose the count of the audience does not satisfy a preset condition.