Tracking and positioning monitoring method based on shopping cart in supermarket

A tracking and positioning, shopping cart technology, applied in the field of positioning and navigation, can solve the problems of safety, unsalable goods, a large number of labor, etc., and achieve the effect of improving positioning accuracy

Active Publication Date: 2020-12-29
SOUTHEAST UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The management and maintenance of large-scale supermarket infrastructure, especially the shopping cart, still requires a lot of labor and cannot meet the needs of efficient real-time management work
Most supermarkets often have no clear standards and basis for their own shelf design and product arrangement through experience, which affects the supermarket's revenue and customer shopping experience to a certain extent.
For example, the unreasonable setting of the exit location of the supermarket leads to potential safety hazards in the distribution and diversion of customers; two closely related goods are placed on shelves that are long apart, and customers spend a long time looking for goods; lack of observation and analysis of customer behavior habits leads to Some goods are unsalable and out of stock

Method used

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  • Tracking and positioning monitoring method based on shopping cart in supermarket
  • Tracking and positioning monitoring method based on shopping cart in supermarket
  • Tracking and positioning monitoring method based on shopping cart in supermarket

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0077] The present invention is based on the location tracking and path planning method of the shopping cart, which can set up a safety monitoring and early warning system for the traffic of supermarkets and people, including:

[0078] The early warning module, the shopping cart position and attitude estimation monitoring module, the human flow distribution estimation module based on the shopping cart position and attitude, and the real-time early warning and decision-making module for sudden disasters; the position and attitude module is connected to the vehicle terminal; the distribution situation diagram shows The module, the personnel distribution calculation and display module, and the sudden disaster real-time decision-making module are connected to the server terminal.

[0079] The human flow monitoring and early warning module is equipped with an alarm system to remind customers to stay away from dangerous areas at the first time and issue danger warnings. The position...

Embodiment 2

[0087] According to yet another aspect of the present application, the present invention is based on positioning information and a path planning method that can improve the customer shopping experience system for finding objects and people;

[0088] The system includes some modules in Embodiment 1;

[0089] The system also includes: a supermarket map module and a location sharing module.

[0090] The supermarket map module includes the location information of safe passages, the location information of goods on shelves, the location information of infrastructure such as toilets, drinking water points, and customer service centers.

[0091] The location sharing module shares the customer's own location information with specific passers-by.

[0092] The order of the customer's object-finding function provided by the present embodiment is as follows:

[0093] Step 1: The customer enters the product information to be queried on the customer mobile terminal, such as name, serial n...

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Abstract

The invention provides a tracking, positioning and monitoring method based on a supermarket shopping cart, and aims at the characteristics of large quantity, strong mobility, scattered distribution, complex management, pedestrian flow distribution correlation and the like of a large supermarket shopping cart. The method comprises the steps: employing a commercial and supermarket shopping cart vehicle-mounted WiFi positioning module and an inertial navigation module; constructing a priori dense WiFi signal fingerprint database, a priori micro-inertia motion state database and priori map (vectormap and topological map) information, and generating a space map (WiFi signal fingerprint space map and micro-inertia information space map) for mobile positioning of the supermarket shopping cart. Therefore, the optimal two-dimensional spatial position / motion state estimation is calculated in real time based on the ID3 decision tree algorithm, so as to analyze the customer behavior mode and thesupermarket operation management information.

Description

technical field [0001] The invention relates to a tracking, positioning and monitoring method based on a shopping cart in a supermarket, and belongs to the technical field of positioning and navigation. Background technique [0002] Currently, the hypermarket industry is developing rapidly. As the scale of supermarkets continues to grow and the infrastructure of supermarkets continues to increase, the demand for supermarket shopping cart management and safety monitoring has also become increasingly prominent. The management and maintenance of large-scale supermarket infrastructure, especially the shopping cart, still requires a lot of labor and cannot meet the needs of efficient real-time management work. Most supermarkets often have no clear standards and basis for their own shelf design and product arrangement through experience, which affects the supermarket's revenue and customer shopping experience to a certain extent. For example, the unreasonable setting of the exit...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W4/02H04W4/021H04W4/024H04W4/029H04W4/33
CPCH04W4/021H04W4/027H04W4/024H04W4/029H04W4/33
Inventor 阳媛徐呈豪尹铭洋王伟
Owner SOUTHEAST UNIV
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