A method and device for performing faster R-CNN neural network operations

Abstract

A method and device for performing Faster R-CNN neural network operations, the method comprising: acquiring multiple images of the same food at different angles; utilizing RPN to determine a recommended area for sample detection; utilizing Fast R-CNN to predict recommendations The category and border of the food object in the area; according to the predicted food border, use Volume R-CNN to predict the volume ratio of each food object; calculate the volume ratio of different categories of food according to the food object category and the food object volume ratio ; Multiply the calculated volume ratios of various foods by the densities of various foods to obtain the mass ratios of various foods; multiply the mass ratios of various foods by the total mass of foods to obtain the mass ratios of various foods Quality: Multiply the quality of various foods by the corresponding nutritional content to obtain the nutritional element content of the food. The invention can measure complex and various kinds of food, and by adopting the artificial neural network technology and the chip, the identification of the food is more accurate and fast.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a method and device for executing Faster R-CNN neural network operations. Background technique [0002] With the acceleration of the pace of life in modern society and the improvement of people's living standards, people have higher and higher requirements for diet. People no longer care about whether they are full, but whether they eat healthy. However, many people lack sufficient dietary health knowledge, so a device that can intelligently measure food energy and nutritional components is needed to help people eat more reasonably. [0003] One of the existing techniques is to calculate food energy by weight. The metering device mainly consists of the following parts: tray, weight measuring device, and display screen. The weight measuring device is used to measure the weight of the food, and transmits the food weight information to the microcomputer processor...

AI Technical Summary

Problems solved by technology

[0006] The problem with the above technology is that the operation is complicated and the requirements for input photos are high; the side view is prone to food occlusion problems

Using the focal length to predict food parameters such as length, width, and height may have certain deviations for different mobile phones. Using the formula method to calculate food volume is not suitable for irregularly shaped foods, and the calculation results have large errors.

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