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The application discloses a kind of feeding device residual food monitoring method and intelligent bird feeder system based on visual identification.The method comprises: obtaining the image containing bin transparent window area collected by imaging device;Image segmentation is carried out to identify food filling area and idle area, and the equivalent material level average height of surface inclined plane is calculated using multi-point sampling weighted compensation algorithm, and then the current residual food inventory parameter is obtained and fed back to client.The application extracts time-stamped time series inventory data, establishes a moving average consumption model, and realizes dynamic prediction of the remaining feeding time.The system reduces hardware costs by reusing bird watching cameras (combined with wide-angle distortion correction or mirror surface), and performs intelligent early warning for food leakage or blockage by comparing real-time consumption rate with historical average rate.In summary, the application breaks through the limitations of traditional sensors, realizes quantitative whole process, and has high robustness and predictability for residual food intelligent management.