Training method for object residual amount detection model, detection method, system, equipment and storage medium

Abstract

The invention discloses a training method for an object residual amount detection model, a detection method, system, equipment and a storage medium, belonging to the technical field of object residual amount detection. According to the invention, the object residual amount is converted into multi-task identification, so a user can acquire the audio data, which is acquired based on the user, of a container in each category during shaking, and a detection model for detecting the residual amount of a target object is trained, so real-time monitoring of the residual amount of the target object can be carried out based on the trained detection model; the user only needs to collect a segment of audio data when the container with the target object shakes, and then the current detection result of the object residual amount can be obtained based on the trained detection model, so a detection process is simplified; and the method is high in universality during detection of the object residual amount, can be widely applied to family users, and can realize the detection of the residual amounts of living articles, e.g., the residual amount of milk, granular medicines, fruit and vegetable juice and the like, contained in containers by means of mobile phones.

Description

technical field [0001] The invention belongs to the technical field of object remaining amount detection, and in particular relates to an object remaining amount detection model training method, a detection method, a system, a device and a storage medium. Background technique [0002] The detection of the remaining amount of the object refers to the detection of the remaining amount of the object in the container containing the object, wherein the container has a container mouth and can be closed by the container lid, and the detected object can be liquid, granular physics (such as medicine) Wait. In the prior art, based on the physical characteristics of the object, the detection of the remaining amount of the object can be realized through a proprietary detection device. For example, for the detection of liquids, the physical characteristics involved include relative permittivity, Raman spectroscopy, X-rays, surface tension, etc. In terms of detection methods, the remaini...

AI Technical Summary

Problems solved by technology

[0004] (1) Additional equipment needs to be deployed, which has a certain threshold for home users;

[0005] (2) The detection equipment used is not popular enough, and it is not the equipment owned by most people

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