Method and device for identifying product purchased by user and intelligent shelf system
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Solution Overview
Problem
Current automatic vending systems face high manpower costs, inefficiencies in product category expansion, and stability issues due to high costs and interference from different radio frequencies, leading to poor user experience and potential product misplacement.
Innovation Solution
A method and device that utilize a combination of weight sensors and image recognition technology to automatically identify products picked up by users, associating user identity information with product information through monitoring images and weight changes, eliminating the need for manual scanning and reducing labor costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual observation by shop assistants is used to sense purchased products and bind them to customers, then product sensing and binding can be completed, but high manpower costs and low efficiency occur
Solution Approach 1:
The system enables automatic product sensing and user binding through weight sensors and image recognition technology. When a user picks up a product, the weight sensor detects the weight change, the monitoring camera captures the user's image, and the system automatically binds the product to the user's account without requiring manual intervention from shop assistants.
Solution Approach 2:
The patent replaces the mechanical manual observation system with an automated sensing system combining weight sensors for product detection and image recognition for user identification. This substitution eliminates the need for human shop assistants to manually track and bind products to customers.
2Productivity
If bar code scanning is used to sense purchased products in large supermarkets, then product information can be identified, but the process requires manual operation and reduces shopping efficiency
Solution Approach 1:
The system automatically detects product pickup through weight sensors and performs user identification through image recognition, eliminating the need for users to manually scan bar codes. The product sensing and user binding process occurs automatically in the background.
Solution Approach 2:
The patent replaces the manual bar code scanning system with an automated weight-based detection system combined with image recognition. This eliminates the need for users to physically scan bar codes while maintaining accurate product identification and user binding.
3Reliability
If Radio Frequency Identification technology is used for automatic product sensing and user binding, then user experience is improved, but high costs and interference from different radio frequencies cause stability issues
Solution Approach 1:
The patent replaces the electromagnetic RFID system with a mechanical sensing approach using weight sensors and optical detection using image recognition cameras. This substitution avoids radio frequency interference and associated costs while maintaining automatic product sensing and user binding capabilities.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This solution enhances user experience by automating product sensing and binding, reducing labor costs, and improving shopping efficiency while minimizing misplacement errors, allowing for scalable product category management without manual intervention.
Implementation Method 1
acquiring a weight of products carried in a container
Implementation Method 2
acquiring a first monitoring image acquired in a monitoring area corresponding to the container, identifying the first monitoring image, and obtaining an identification result
Data Source
AI summary
The present disclosure provides a method and device for identifying a product purchased by a user and intelligent shelf system. The method includes acquiring a weight of products carried in a container, acquiring a first monitoring image acquired in a monitoring area corresponding to the container, identifying the first monitoring image, and obtaining an identification result, wherein the identification result comprises user identity information when it is determined that the weight of the products is reduced, acquiring a time when at least one product carried in the container is picked up, and determining information of at least one picked-up product, obtaining the user identity information corresponding to the at least one picked-up product, and associating the user identity information with the information of the at least one picked-up product.