EEG-Based Item Identification at Point of Sale

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Solution Overview

Problem

Barcode scanning at point of sale terminals is hindered by requirements for perfect focus, adequate lighting, minimal motion, and proper barcode placement, which can lead to inaccurate readings, especially with damaged or absent barcodes, and is vulnerable to theft.

Innovation Solution

An EEG-based system that uses brain wave profiles to identify items, eliminating the need for image processing and barcode scanning by leveraging the human brain's object recognition abilities, allowing for item identification in various conditions and without barcodes.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If barcode scanning is used for item identification, then item identification can be performed, but the system requires perfect focus, adequate lighting, minimal motion, and proper barcode placement which reduces reliability under varying conditions

Engineering Contradiction:

Improveitem identification reliabilityVSAvoidadaptability to varying conditions

Core Design Contradiction:

ReliabilityVSAdaptability or versatility

Solution Approach 1:

The patent replaces the mechanical/optical barcode scanning system with a neurophysiological detection system using EEG headgear. Instead of using cameras and image processing to read barcodes, the system detects brain wave patterns generated when a user views an item. This substitution eliminates the need for barcodes, perfect focus, adequate lighting, and minimal motion, thereby improving reliability across varying conditions while maintaining item identification capability.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Reliability

If barcode scanning is used, then item identification is possible, but the process is vulnerable to theft through barcode swapping and cannot identify items without barcodes

Engineering Contradiction:

Improveitem identification accuracyVSAvoidtheft and human error

Core Design Contradiction:

ReliabilityVSObject-affected harmful factors

Solution Approach 1:

The patent replaces the barcode-based identification system with an EEG-based neurophysiological system. Since the identification is based on the user's unique brain wave response to viewing specific items, it becomes extremely difficult to cheat or swap identifiers. The system naturally identifies items without requiring physical barcodes, eliminating vulnerabilities to barcode swapping theft and manual entry errors while maintaining accurate item identification.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Adaptability or versatility

If manual keying is used for items without barcodes, then item identification can be achieved, but the process is time-consuming and prone to human error

Engineering Contradiction:

Improveability to identify items without barcodesVSAvoidtransaction speed

Core Design Contradiction:

Adaptability or versatilityVSProductivity

Solution Approach 1:

The patent replaces manual keying operations with automated EEG-based detection. When a user views an item (including items without barcodes like produce), the EEG headgear automatically captures brain wave patterns, the system processes these signals to identify the item, and retrieves pricing information. This automated process eliminates the time-consuming manual keying operation while maintaining the ability to identify any item, thereby dramatically improving transaction speed and productivity.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

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

Enables accurate and efficient item identification at point of sale, reducing errors and theft, and facilitating the scanning of items without barcodes, such as produce, by using EEG technology to match brain wave signals with stored profiles for seamless transactions.

Implementation Method 1

an EEG device that detects electrical signals representing brain waves

Methodology Applied

Scientific EffectElectroencephalography (EEG):

Data Source

PatentUS10373143B2Product identification using electroencephalography

Publication Date: 2019.08.06 HAND HELD PRODS INC

AI summary

An EEG POS system has an EEG device that detects electrical signals representing brain waves. A database of brain wave profiles represents a plurality of items to be identified. A live signal analyzer compares electrical signals from the EEG device with stored brain wave profiles in the database to identify entries in the database representing items that match the electrical signals from the EEG device, where items whose stored brain wave profiles match the electrical signals are considered identified items. A POS terminal is coupled to the live signal analyzer in order to log and tally items for a transaction.