A weight estimation method, system and their electronic devices

Abstract

The invention relates to the field of artificial intelligence recognition, in particular to a weight estimation method and system, and an electronic device. The weight estimation method comprises thefollowing steps: establishing a relation model between real-time weight obtained by weighing a sensing device under the action of gravity of a standard object and real weight of a standard object at different time of a shaking state, and obtaining a function relation that a real-time angle between the real-time weight direction and the real weight direction changes along with corresponding time inthe shaking state; obtaining the real-time weight of the to-be-measured object, which is correspondingly weighed by the sensing device at the specific time in the shaking state; and performing operation on the obtained real-time weight and time of the to-be-measured object in combination with the function relation to obtain the real weight of the to-be-measured object. The real weight data of theto-be-detected object can be quickly read in the presence of the external interference, so that the waiting time for disappearing of interference factors for detection of the sensing device is shortened, and the weight change can be quickly and accurately estimated.

Description

【Technical field】 [0001] The invention relates to the field of identification based on artificial intelligence, in particular to a weight estimation method, system and electronic device thereof. 【Background technique】 [0002] With the rapid development of the Internet of Things and artificial intelligence, commodity information can be digitized and digitized for further processing, so the efficiency and accuracy of information processing is becoming more and more important. [0003] Now the new retail industry is gradually emerging, and unmanned containers have also been widely promoted. At present, the unmanned containers on the market can identify the products displayed on the container through the change of product weight. However, the product weight identification in the prior art is easily affected by external factors, such as shaking interference caused by the opening and closing of the container door, which in turn affects the weight reading. The accuracy of the val...

AI Technical Summary

Problems solved by technology

At present, the unmanned containers on the market can identify the products displayed on the container through the change of product weight. However, the product weight identification in the prior art is easily affected by external factors, such as shaking interference caused by the opening and closing of the container door, which in turn affects the weight reading. The accuracy of the value; if you wait for the interference to disappear before reading, it will take a long time, which violates the original intention of using smart containers

The emergence of smart cabinets is to provide convenient services for human life. By using smart cabinets to shop, you can avoid the process of waiting in line for settlement, but if the waiting time is too long, there will be a problem of waiting in line.

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