Self-Checkout Illumination System for Item Placement Guidance
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Solution Overview
Problem
Self-service kiosks face issues with buyers incorrectly placing items on the platform, leading to skewed weight measurements, delayed transactions, and potential scale malfunctions, which can frustrate shoppers and require store personnel intervention.
Innovation Solution
A self-checkout system equipped with computer vision and illumination features that identify items using cameras and projectors/lasers to highlight correct placement of items on or near the platform, suggesting adjustments through illuminated indicators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If buyers place items on the platform for checkout, then the weighing and monitoring process can be completed, but incorrect placement may occur leading to skewed weight measurements and potential scale malfunctions
Solution Approach 1:
The system uses cameras to capture images of items on the platform and provides visual feedback through illuminated indicators (green light for correct placement, red light for incorrect placement). This real-time feedback loop allows buyers to correct their placement immediately, ensuring accurate weight measurements while maintaining fast checkout processing.
Solution Approach 2:
The patent replaces purely mechanical weighing systems with a combined optical-mechanical system. Cameras capture images of items, and illuminated indicators provide guidance, substituting mechanical correction methods with optical feedback mechanisms to improve measurement accuracy without slowing down the checkout process.
2Ease of operation
If buyers manually place and scan each item, then the checkout process can be completed, but the process becomes time-consuming and frustrating
Solution Approach 1:
The system enables complete self-service by automatically identifying items through camera imaging and providing real-time guidance through illuminated indicators. Buyers independently place items and receive immediate feedback without requiring cashier intervention, making the process both easy to operate and time-efficient.
Solution Approach 2:
Real-time visual feedback through illuminated indicators guides buyers through the checkout process instantly, eliminating delays and frustrations associated with manual scanning and verification. This immediate feedback mechanism streamlines the entire checkout transaction.
3Reliability
If the system monitors items on the platform, then weighing and identification can be performed, but incorrect items may be placed leading to skewed measurements
Solution Approach 1:
The system continuously monitors item placement through cameras and provides immediate visual feedback via illuminated indicators. This feedback mechanism ensures that only correctly placed items are weighed, maintaining both the reliability and precision of the checkout process by preventing skewed measurements from incorrect items.
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
Facilitates a more intuitive shopping experience by reducing errors and allowing quick issue resolution, minimizing scale malfunctions and barcode scanner issues.
Implementation Method 1
A light source, e.g., a projector or laser, can be controlled to illuminate one or more of the items placed within the predefined zone
Implementation Method 2
The cameras can capture images of the items on or near the platform within the predefined zone
Data Source
AI summary
A self-checkout system and techniques for illuminating one or more items placed within a predefined zone of the self-checkout system are provided. In one aspect, a self-checkout system includes one or more cameras, a light source, and a computing device. The computing device is configured to implement an operation, including: receiving one or more images of one or more items placed within the predefined zone, the images being captured by the cameras; determining an identity of the one or more items placed within the predefined zone, based at least in part on the captured images; and causing the light source to project an illuminated indicator onto at least one item of the one or more items placed within the predefined zone, based on the identity of the at least one item.