Intelligent Store System Error Correction via HMI Feedback
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Solution Overview
Problem
Existing intelligent store systems lack a mechanism to correct errors in customer identification, leading to inaccurate tracking of customer interactions and purchases.
Innovation Solution
An intelligent store system incorporating a proximity sensor, image sensor, and processor that generates virtual identities and updates product lists based on customer movement trajectories and interactions, allowing for correction of incorrect identifications by receiving customer operations upon leaving the store.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the store system performs unilateral identification on customers and items, then the system complexity is reduced, but the identification accuracy deteriorates due to lack of error correction mechanism
Solution Approach 1:
The patent implements a feedback mechanism where customers can provide feedback on identification results through the human-machine interface. When the system identifies items or customers incorrectly, the customer's feedback serves as corrective input that updates the identification data, thereby improving identification accuracy without significantly increasing system complexity
Solution Approach 2:
The system enables customers to self-correct identification errors by allowing them to manually confirm or correct item and customer identity information through the human-machine interface. This self-service approach improves identification accuracy while avoiding the need for complex automated correction systems
2Measurement precision
If the system tracks customer movement trajectory and generates virtual identities, then the customer tracking accuracy is improved, but the device complexity increases due to multiple sensors and processing requirements
Solution Approach 1:
The processor performs multiple functions using the same hardware components: it processes proximity sensor data, image sensor data, generates virtual identities, tracks movement trajectories, and updates product lists. This multi-functionality approach improves customer tracking accuracy while avoiding the need for separate dedicated devices for each function
Solution Approach 2:
The patent combines the proximity sensor, image sensor, human-machine interface, and processor into an integrated store system where all components work together through a unified processing architecture. This merging of components improves tracking accuracy while managing device complexity through coordinated operation
3Measurement precision
If the system updates product lists based on movement trajectory and customer operations, then the purchase logging accuracy is improved, but the loss of time increases due to continuous updating processes
Solution Approach 1:
The system updates product lists based on periodic customer operations detected by the human-machine interface rather than continuous updating. This periodic action approach improves purchase logging accuracy by capturing actual customer interactions while reducing the time overhead compared to continuous real-time updating
Data Source
AI summary
An intelligent store system and an intelligent store method are provided. The method includes: sensing, by a proximity sensor, whether there is a first customer approaching the proximity sensor; sensing, by an image sensor, a movement trajectory of the first customer; and determining whether the first customer is entering or leaving a store in response to the first customer approaching the proximity sensor sensed by the proximity sensor. If the first customer is entering the store, a first virtual identity and a first virtual shopping cart corresponding to the first virtual identity are generated for the first customer, and a first product list of the first virtual shopping cart is updated according to the movement trajectory. If the first customer is leaving the store, a first operation of the first customer is received by a human machine interface, and the first product list according to the first operation is updated.