RFID Tags for Variable Weight-Price Item Detection
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Solution Overview
Problem
Existing detector-based inventory management and shopping systems struggle to accurately detect variable weight-price items, such as perishables and bulk items, which are often missed by camera- or vision-based systems due to their placement or characteristics, leading to incomplete inventory tracking and asset management.
Innovation Solution
Incorporating item-level sensors like RFID tags into detector-based systems, which provide unique digital identities and can be detected using radio frequencies, NFC, or other digital triggers, to enhance the detection of variable weight-price items, enabling accurate tracking and monitoring of these products in merchandising and storage areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If camera- or vision-based systems are used to detect products, then the system can identify product types and follow shoppers through space, but the system fails to accurately detect variable weight-price items such as perishables and bulk items that are closely placed or stacked
Solution Approach 1:
The patent combines camera-based vision systems with RFID detection systems into a hybrid detector-based system. The vision system provides product type identification and shopper tracking, while the RFID system detects variable weight-price items through radio frequency signals. The two systems work together to compensate for each other's limitations, achieving both visual identification and RFID-based item detection capabilities.
Solution Approach 2:
The patent introduces RFID tags as intermediary elements attached to variable weight-price items. These tags serve as mediators between the detection system and the items, enabling indirect detection through radio frequency signals when direct visual detection fails. The RFID tags carry unique identifiers that allow the system to track and identify items even when they are obscured or in positions not visible to cameras.
2Reliability
If RFID tags are incorporated into the system, then detection of variable weight-price items is improved, but system complexity increases
Solution Approach 1:
The patent implements a unified detector-based system that handles multiple detection modalities (vision and RFID) through a single integrated platform. The system uses a common data processing architecture that can handle both camera-based product identification and RFID-based item detection, allowing one system to serve multiple functions rather than requiring separate independent systems for each detection method.
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
The use of RFID tags and other digital identification systems improves the detection and tracking of variable weight-price items, providing comprehensive data that complements existing sensor-based systems, ensuring accurate inventory management and asset tracking, even in challenging environments.
Implementation Method 1
Incorporating item-level sensors like RFID tags into detector-based systems, which provide unique digital identities and can be detected using radio frequencies
Data Source
AI summary
Methods and systems for detecting activity of variable weight-price items in detector-based inventory management and shopping systems in merchandising and/or storage areas are described herein. The methods described herein involve the use of multi-detector systems containing one or more digital triggers which can be read/detected in order to obtain a unique digital identity for the items. In some embodiments, the digital trigger is an RFID inlay and the detector-based system is a vision- or camera-based walk out shopping systems in order to detect variable weight-price items. In some embodiments, the vision- or camera-based walk out shopping system is deployed in a grocery store and the variable-weight items are selected from meats, cheeses, seafood, fruits and vegetables, deli items, salad bars, bulk items (e.g., nuts, coffee beans, grains, etc.) and combinations thereof. In some embodiments, the sensors provide item level unique individual identification of the variable weight-price items to enhance the data fusion used to monitor these products by current employed ecosystems.