Automated Checkout Article Identification Using Spectroscopy
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Solution Overview
Problem
Existing automated checkout systems face inefficiencies due to the resource-intensive use of laser scanners and the requirement for article labels, which can lead to incorrect identifications and hinder the processing of bulk items.
Innovation Solution
A classification device that uses a spectroscopy sensor connected to a processor to determine a measured signature of an article, comparing it to digital reference signatures stored in a memory unit for identification, allowing for optimal sensor resource use and minimizing the need for customer intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If laser scanner and scales are used for identifying articles, then identification capability is provided, but resource consumption increases and processor speed decreases
Solution Approach 1:
The patent extracts the identification function from the complex laser scanner and scale system, isolating it into a dedicated spectroscopy sensor that specifically detects molecular vibrations. This separation allows the system to use only the necessary sensor resources for identification without the overhead of maintaining and processing data from multiple sensors simultaneously.
Solution Approach 2:
The patent replaces the mechanical weighing system (scales) with a spectroscopic detection system that identifies articles based on their molecular fingerprint. This substitution eliminates the need for physical contact and mechanical measurement, reducing resource consumption while maintaining identification capability.
2Measurement precision
If labels are required on articles for identification, then identification accuracy is improved, but customer convenience decreases and bulk article processing is hindered
Solution Approach 1:
The patent enables articles to self-identify through their inherent molecular properties detected by the spectroscopy sensor. Articles do not require external labels or tags; their chemical composition naturally provides the identification signature. This self-service approach eliminates the need for customer intervention to attach labels while maintaining high identification accuracy.
Solution Approach 2:
The patent creates a digital copy of the article's molecular fingerprint spectrum and stores it in a database for comparison. This spectral copy serves as the article's unique identifier, replacing physical labels and enabling automatic recognition without requiring any modification to the article itself.
3Reliability
If multiple sensors are used for identification, then identification security is improved, but processor power consumption increases
Solution Approach 1:
The patent makes the spectroscopy sensor multi-functional by designing it to simultaneously perform identification, verification, and classification functions. The single sensor provides comprehensive molecular information that serves multiple identification purposes, eliminating the need for multiple specialized sensors and reducing overall processor power requirements.
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 solution enables accurate and efficient identification of various articles, including fruits and bulk items, with minimal resource consumption, reducing incorrect identifications and streamlining the checkout process.
Implementation Method 1
a spectroscopy sensor connected to the processor, wherein the spectroscopy sensor is arranged to determine a measured signature of an article when the article is placed before, on or after a weight sensor
Data Source
AI summary
A classification device (2) for identification of articles (3) in an automated checkout counter is provided. The device comprises a memory unit (5) capable of storing digital reference signatures, each of which digital reference signatures corresponds to an article identity, and a processor (6) connected to the memory unit (5), wherein the classification device (2) further comprises a spectroscopy sensor (7, 24) connected to the processor (6), wherein the spectroscopy sensor (7, 24) is arranged to determine a measured signature of an article (3) when the article (3) is placed before, on or after a weight sensor (4), and wherein the processor (6) is arranged to compare the measured signature with the digital reference signature in order to identify the article (3) as an existing article identity in the memory unit (5).