Infrared Object Validation for Shopping Cart Product Verification
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Solution Overview
Problem
Existing scan and go technologies in retail environments face challenges such as guests potentially taking different items than scanned, misidentifying product quantities, leading to shortages and increased labor costs for manual checks, which can be inefficient and prone to human error.
Innovation Solution
The use of infrared (IR) emitters and receivers positioned around the shopping cart to create a 3D representation of items as they are added or removed, validating that the physical items match the scanned products in terms of class, quantity, and directionality, thereby ensuring accurate checkout processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual checks are used to verify scanned items, then product validation accuracy can be improved, but labor costs and checkout time increase
Solution Approach 1:
The patent replaces manual mechanical verification with an automated optical sensing system using infrared emitters and receivers. The system captures images of products as they enter the cart, automatically identifies them using vision recognition, and validates them against the scanned item list, eliminating the need for manual checking while maintaining accuracy and reducing time loss.
Solution Approach 2:
The system enables self-service validation where the cart automatically performs product verification without human intervention. The infrared sensors, image processing unit, and validation logic work together autonomously to detect, identify, and validate products, allowing the system to serve itself rather than requiring staff for manual verification.
2Reliability
If manual checks are deployed to prevent shortages, then product validation can be improved, but labor costs increase
Solution Approach 1:
The patent substitutes human labor with an automated system comprising infrared emitters, receivers, image capture devices, and validation logic. This system continuously monitors products entering the cart, automatically identifies them, and validates against the transaction list, providing reliable shortage prevention without requiring additional labor resources.
Solution Approach 2:
The system creates visual copies (images) of products as they enter the cart and compares these copies against the scanned item data. This copying and comparison process enables automated validation that is as reliable as manual checking but without the associated labor costs.
3Productivity
If scan and go technology is implemented without validation, then checkout speed is improved, but product accuracy deteriorates
Solution Approach 1:
The system performs preliminary product identification and validation as products enter the cart, before the customer completes checkout. The infrared sensors capture images early in the process, and the system validates products against the scanned list in real-time, ensuring accuracy is established beforehand rather than requiring slower post-checkout verification.
Solution Approach 2:
The patent replaces the need for post-scan validation with automated optical sensing that occurs during product placement. The system uses infrared emitters and receivers to capture and process product images in real-time, maintaining checkout speed while ensuring product identification accuracy through automated vision recognition.
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 provides more accurate, efficient, and cost-effective validation of scanned items, reducing shortages and manual labor costs, while enhancing trust between retailers and customers, allowing for quicker and more streamlined checkout processes.
Implementation Method 1
The light emitters can be infrared (IR) emitters and the light sensors can be IR sensors
Implementation Method 2
receive, from one or more of the light sensors that are positioned on a side of the shopping cart that is opposite a side of the shopping cart where the activated light emitter is located, light intensity data that is collected by the one or more light sensors
Data Source
AI summary
The disclosed technology provides for reconstructing products that are added to a shopping cart in three-dimensional space. The recontructed products can be used for product validation. A shopping cart can include product validation hardware including light emitters and light sensors along a top perimeter of the shopping cart. The shopping cart can activate the light emitters to emit light across a top horizontal plane of the shopping cart, receive, from light sensors on a side of the shopping cart opposite a side where the activated light emitter is located, light intensity data as a product passes through the top horizontal plane and obstructs at least a portion of the emitted light from being detected by the light sensors, identify, from the light intensity data, slices of the product, and reconstruct the product in 3D space based on stitching together the slices.