Intelligent logistics commodity intelligent sorting management method based on feature recognition and cloud sorting management platform

Abstract

The invention discloses an intelligent logistics commodity intelligent sorting management method based on feature recognition and a cloud sorting management platform, and the method comprises the steps of carrying out the detection of the actual size and weight of each logistics commodity package in a logistics delivery region, comparing and screening the specification logistics sorting trolleys corresponding to each logistics commodity, carrying out the deployment, and meanwhile, scanning a two-dimensional code on a corresponding logistics commodity package through each logistics sorting trolley to obtain order information of each successfully scanned logistics commodity; sorting each unsuccessfully scanned logistics commodity to a manual processing area, and extracting the weight and the volume of each successfully scanned logistics commodity package; carrying out comparison and statistics on all logistics commodities which can be normally transported in the logistics unloading area; and meanwhile, obtaining each logistics commodity transportation province which can be normally transported. According to the invention, the logistics goods are sorted to the logistics delivery area positions of the corresponding transportation provinces through the corresponding logistics sorting trolleys, so that the sorting time of the logistics goods is shortened, and the sorting efficiency of the logistics goods is improved.

Description

technical field [0001] The invention relates to the field of sorting management of logistics commodities, and relates to a method for intelligent sorting management of smart logistics commodities based on feature recognition and a cloud sorting management platform. Background technique [0002] With the rapid development of e-commerce, it not only brings unprecedented development opportunities to the logistics industry, but also poses severe challenges. How to sort logistics goods with high efficiency, low cost, flexibility and accuracy has always been a difficult problem for this industry. [0003] At present, the existing logistics commodity sorting management method is generally manual-assisted sorting, that is, manual sorting is performed after checking the logistics commodity order information, which not only requires a lot of human resource costs, but also increases the logistics commodity in the logistics storage center. Sorting time reduces the sorting efficiency of...

AI Technical Summary

Problems solved by technology

[0003] At present, the existing logistics commodity sorting management method is generally manual-assisted sorting, that is, sorting after manually checking the logistics commodity order information, which not only requires a lot of human resource costs, but also increases the logistics commodity in the logistics storage center. Sorting time reduces the sorting efficiency of logistics commodities. After working for a long time, due to visual fatigue, personnel are prone to make mistakes and sort logistics commodities incorrectly, which leads to an increase in the transportation time and cost of logistics commodities. The picked logistics products are placed on the corresponding conveyor belt and transported to the shipping area of ​​the corresponding province. There is a phenomenon that the logistics product packaging is bumped and damaged on the conveyor belt, which affects the service quality of the logistics storage center and the logistics experience of the user. In order to solve the above problems , now design an intelligent logistics product intelligent sorting management method based on feature recognition and a cloud sorting management platform

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