Imaging Apparatus Sub-View Area Segmentation for RFID Tag Association
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Cameras equipped with RFID tag reading capabilities struggle to accurately associate multiple objects with their corresponding RFID tags within the camera's view area, leading to user experience issues due to confusion in determining which attribute information belongs to which object.
Innovation Solution
The method involves acquiring image data, dividing the view area into sub-view areas, scanning each sub-view area using a directed beam to gather attribute information, establishing correspondences between attribute information and image data, and determining distance-related information between objects and the beam emitting position to differentiate between multiple objects' information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the camera uses dedicated RFID readers to read tags, then RFID tag reading capability is achieved, but accurate correspondence between multiple objects and their RFID tags cannot be established
Solution Approach 1:
The view area is divided into multiple sub-view areas, and beam scanning is performed separately in each sub-view area. This segmentation allows the system to read RFID tags and capture images in a sequential, localized manner, establishing accurate correspondences between objects and their tags by processing each sub-area independently rather than attempting to read all tags simultaneously across the entire view area.
2Quantity of substance
If beam scanning is performed in the entire view area, then all RFID tags can be read, but it becomes difficult to determine which attribute information belongs to which specific object
Solution Approach 1:
By dividing the view area into multiple sub-view areas and performing beam scanning in each sub-area separately, the system maintains clear spatial boundaries for each scanned region. The image data is correspondingly divided into sub-image data sets, allowing the system to read multiple RFID tags while preserving the spatial context needed to associate each tag's attribute information with its corresponding object.
Solution Approach 2:
The patent introduces sub-view area division and sequential beam scanning as intermediary steps between the RFID reader and the final object identification. This intermediary process captures the spatial distribution of tags and maintains correspondence information, acting as a mediator that prevents loss of object-attribute information even when multiple tags are read.
3Productivity
If multiple objects with RFID tags exist in the view area, then more objects can be detected, but the camera cannot establish accurate correspondences between objects and RFID tag information
Solution Approach 1:
The view area is segmented into multiple sub-view areas, and beam scanning is performed sequentially in each sub-area. This allows the system to detect multiple objects across different sub-areas while maintaining accurate correspondences, as each sub-area scan establishes local object-tag associations that can be aggregated without confusion.
Solution Approach 2:
The patent introduces a temporal dimension by performing beam scanning sequentially across different sub-view areas rather than simultaneously across the entire view area. This time-sequential approach, combined with spatial segmentation, allows the system to handle multiple objects while maintaining clear correspondence relationships through the ordered processing of each sub-area.
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 approach enhances the accuracy of object-attribute information association by providing clear correspondences and resolving user confusion, allowing for precise identification of attribute information for each object within the view area.
Implementation Method 1
Radio Frequency Identification (RFID) tags are applied more often in commodities. However, information in these RFID tags generally is read by using dedicated RFID readers.
Data Source
AI summary
An association relating to the field of communications is enabled. A method comprises: acquiring image data in a view area of an imaging apparatus; dividing the view area into sub-view areas; acquiring an attribute information set of at least one object in any one sub-view area through beam scanning; establishing a correspondence between the attribute information set and image data corresponding to the one sub-view area; and acquiring, in response to that the attribute information set comprises attribute information of multiple objects, distance related information between the multiple objects and a beam emitting position. An accurate correspondence can be established between an object in a view area of an imaging apparatus and attribute information of the object, and with multiple objects, distance related information between the objects and a beam emitting position is acquired, which helps to further determine a correspondence between each object and corresponding attribute information.