Shelf Hot Zone Image Comparison for Item Placing State Detection
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Solution Overview
Problem
Current retail store tally systems lack mature technology for timely and accurate acquisition of item placing states on shelves, resulting in delays, inefficiencies, and high costs due to manual inspection methods.
Innovation Solution
A method and system that utilize camera equipment to acquire and analyze images of hot zones on shelves, comparing current images to standard images to determine item placing states, and send alerts for abnormal conditions, improving efficiency and accuracy through automated data processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual inspection methods are used to acquire item placing states, then the system is simple to implement, but the tally efficiency is low and tally delay is serious
Solution Approach 1:
The patent replaces manual mechanical inspection with an automated image processing system. Camera equipment captures images of shelf hot zones, and a processor automatically analyzes these images to determine item placing states, eliminating the need for manual tallying while significantly improving efficiency.
Solution Approach 2:
The system creates visual copies (images) of the actual item placing states on shelves. By capturing and analyzing images instead of physically inspecting items, the system efficiently replicates the tallying function through digital representation, improving productivity without proportionally increasing complexity.
2Reliability
If manual inspection methods are used to acquire item placing states, then the cost is high due to labor requirements, but the system complexity is low
Solution Approach 1:
The patent substitutes human inspectors with an automated image analysis system. The processor compares captured images against standard images to objectively determine item placing states, eliminating subjective human error and improving tally accuracy while maintaining manageable system complexity through standardized processing algorithms.
Solution Approach 2:
The system implements feedback by comparing actual item placing states captured in images against standard reference images. This automated feedback mechanism continuously monitors and evaluates placing states, ensuring high reliability and accuracy in tally results without requiring complex manual verification procedures.
3Loss of time
If manual inspection methods are used to acquire item placing states, then the implementation is simple, but the timeliness is poor
Solution Approach 1:
The patent enables continuous monitoring by having camera equipment continuously capture images of shelf hot zones and the processor continuously analyze these images. This continuous automated operation eliminates the intermittent nature of manual inspection, significantly reducing tally delay and improving timeliness while the standardized processing keeps complexity manageable.
Data Source
AI summary
The present disclosure provides a method for acquiring an item placing state, including: sending an acquisition request, wherein the acquisition request includes one or more association relationships, each of the association relationships includes an association relationship between a hot zone and a camera equipment, and one hot zone corresponds to one kind of item; and receiving a placing state of an item corresponding to at least one hot zone, wherein the placing state of the item corresponding to the at least one hot zone is determined according to a current image and a standard image of the at least one hot zone in response to the acquisition request. The present disclosure further provides a processing method, a system for acquiring an item placing state and a processing system.