Computer Vision Detection of Handheld Readers Outside Scan Fields
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Solution Overview
Problem
Conventional self-checkout stations fail to address exceptions such as items that are too heavy or bulky, missing barcodes, or not visible in the scan field, leading to delays and frustration in the purchasing experience.
Innovation Solution
A system with a fixed data capture assembly having multiple overlapping fields of view, including upward and downward directed imagers, that extends into both an item scanning region and a data capture region, allowing for orientation-independent scanning and the use of a handheld indicia reader to address exceptions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional self-checkout stations use fixed scanning regions only, then scanning automation is maintained, but items outside the scan field (heavy, bulky, or misplaced items) cannot be detected or scanned
Solution Approach 1:
The patent extends the data capture region beyond the traditional horizontal scan plane by adding vertical imaging capability. Downwardly directed imagers capture items in a three-dimensional space above and outside the scan field, allowing detection of heavy, bulky, or misplaced items that cannot be scanned in the conventional horizontal plane alone
Solution Approach 2:
The system integrates multiple imaging functions into a single automated framework: the fixed data capture assembly with downwardly directed imagers serves both to monitor the scan field and to detect items outside it, while the handheld indicia reader provides both manual scanning capability and visual feedback guidance, creating a multi-functional system that handles diverse item types
2Measurement precision
If the system monitors items outside the scan field continuously, then detection accuracy improves, but processing time and system resource usage increase
Solution Approach 1:
The downwardly directed imagers continuously monitor and identify items outside the scan field in advance, building a preliminary list of detected items. When the handheld indicia reader is activated, the system already has item location and orientation information ready, allowing immediate visual feedback and guidance without delay
Solution Approach 2:
The system provides self-service monitoring where the downwardly directed imagers autonomously track items outside the scan field and maintain awareness of their positions. This preliminary self-monitoring reduces the processing burden when manual intervention is needed, as the system already has item data ready for immediate feedback to the customer
Data Source
AI summary
Systems and methods for item detection are disclosed herein. The system comprises a fixed data capture assembly, a handheld indicia reader, a processor, and a memory. The fixed data capture assembly has a first field of view (FOV) associated with an item scanning region and a second FOV associated with a data capture region extending at least partially outside the item scanning region. The processor executes instructions stored in the memory causing the system to: detect an item within the data capture region and outside of the item scanning region; responsive to detecting the item, determine whether the item remains outside the item scanning region during a first time period; responsive to determining that the item remains outside the item scanning region during the first time period, determine whether the handheld indicia reader is utilized; and responsive to determining that the handheld indicia reader is not utilized, trigger an alert associated with non-scanning of the item.