首页> 外国专利> NEURAL NETWORK SYSTEMS AND COMPUTER-IMPLEMENTED METHODS FOR IDENTIFICATION AND / OR EVALUATION OF ONE OR MORE FOOD PRODUCTS IN VISUAL INPUT INFORMATION

NEURAL NETWORK SYSTEMS AND COMPUTER-IMPLEMENTED METHODS FOR IDENTIFICATION AND / OR EVALUATION OF ONE OR MORE FOOD PRODUCTS IN VISUAL INPUT INFORMATION

机译:用于识别和/或评估可视输入信息中一种或多种食品的神经网络系统和计算机实现的方法

摘要

In some embodiments, the present invention provides for an exemplary inventive convolutional neural network-based and computer-implemented method for identifying and evaluating pizza, including: collecting video input representative of the food and received from at least one camera, applying a first CNN to select, from the video input, a set of best pizza containing video frames of a particular pizza from the plurality of pizza containing video frames; applying the first CNN to identify a best pizza containing image from the set, to localize at least one pizza portion of the particular pizza in the identified best pizza containing image, and to determine a type of the pizza of the particular pizza from the identified best pizza containing image; applying a second CNN to determine a map of pizza components of the particular pizza by automatically performing pizza image segmentation and to automatically score the particular pizza based on the determined map of pizza components.
机译:在一些实施例中,本发明提供了一种示例性的基于卷积神经网络的,由计算机实现的,用于识别和评估披萨的方法,该方法包括:收集代表食物的视频输入并从至少一个照相机接收,将第一CNN应用于从视频输入中,从多个包含视频帧的比萨中选择一组包含特定比萨视频帧的最佳比萨;应用第一CNN来从集合中识别出包含最佳比萨饼的图像,在已识别的包含最佳比萨饼的图像中定位特定比萨饼的至少一个比萨饼部分,并从已识别的最佳比萨饼中确定特定比萨饼的比萨饼类型包含图像的披萨;应用第二CNN通过自动执行披萨图像分割来确定特定披萨的披萨成分图,并基于确定的披萨成分图自动对特定披萨评分。

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