Shopping Cart Positioning via Visual Partition and Wireless Beacons
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Solution Overview
Problem
Existing intelligent shopping cart positioning technologies face accuracy issues due to poor performance of wireless positioning methods like Bluetooth and WIFI, which are often interfered by the environment, and visual positioning requires high computational resources that current consumer electronics cannot meet.
Innovation Solution
A method combining visual and wireless positioning, where a reference image is acquired to identify preset identifiers in a supermarket, and distance information from signal transmitters is used to determine the shopping cart's position, with correction by magnetometer data when necessary, to improve accuracy and reduce computational load.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If wireless positioning methods (Bluetooth, WIFI) are used, then positioning function is implemented, but positioning accuracy is poor and environmentally interfered
Solution Approach 1:
The patent combines wireless positioning (Bluetooth beacons) with visual positioning (image recognition of partition identifiers) to achieve both automation and high accuracy. The system merges two positioning methods: wireless signals for automated location detection and visual recognition for accurate partition identification, resolving the contradiction between automated positioning function and positioning accuracy.
2Measurement precision
If visual positioning using image acquisition is used, then positioning accuracy is improved, but positioning calculation amount increases and processing module requirements increase
Solution Approach 1:
The patent segments the visual positioning process into discrete components: capturing images of partition identifiers, recognizing identifier patterns, determining partition location, and calculating position. This segmentation reduces computational complexity by breaking down the complex visual positioning task into manageable steps that can be processed sequentially rather than simultaneously.
Solution Approach 2:
The patent uses pre-stored reference images of partition identifiers as copies to compare against captured images. Instead of performing complex real-time visual recognition, the system matches captured identifier images against pre-stored reference copies, significantly reducing processing requirements while maintaining positioning accuracy.
3Extent of automation
If wireless positioning is used in supermarkets, then positioning is implemented, but positioning deviation occurs due to partition size being smaller than positioning accuracy
Solution Approach 1:
The patent implements feedback by continuously comparing the determined partition location with the shopping cart's actual position and adjusting the positioning calculation accordingly. The system uses feedback from both wireless signal strength and visual identifier recognition to correct positioning deviations and ensure the cart is accurately located within the correct partition.
Data Source
AI summary
A method for positioning a supermarket shopping cart, a system for positioning a supermarket shopping cart and a supermarket shopping cart. A method for positioning a supermarket shopping cart provided by the present disclosure includes: acquiring a first reference image of a supermarket, and processing a first reference image to obtain a partition in which a shopping cart is located as a positioning partition, in which the supermarket comprises a plurality of partitions; receiving distance information sent by at least one signal transmitter provided in the positioning partition, in which each partition is provided with at least one signal transmitter; and obtaining a first positioning position of the shopping cart, according to distance information sent by at least one signal transmitter corresponding to the positioning partition, and determining an actual position of the shopping cart based on the first positioning position of the shopping cart.