Overhead Imaging Detection for Retail Cart Inventory Shrinkage
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Solution Overview
Problem
Inventory shrinkage in retail due to items being forgotten or intentionally left in merchandise carriers, such as carts or baskets, during the checkout process, leading to inadvertent or purposeful loss of inventory, including theft and fraud.
Innovation Solution
A system and method using overhead imaging devices, including cameras and image processors, to detect items remaining in merchandise carriers by comparing captured images with known patterns and surfaces, generating alerts when items are detected, and notifying sales associates or customers to ensure all items are scanned before payment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual inspection of merchandise carriers is used during checkout, then customers and sales associates can identify items, but items below the top basket or at the bottom of the cart may be forgotten or not noticed, leading to inventory shrinkage
Solution Approach 1:
The patent replaces manual visual inspection with an automated imaging system using overhead cameras and image processing algorithms. The system captures images of the merchandise carrier and uses computer vision to detect items, substituting human eyes and brain processing with mechanical-optical-electronic detection systems, thereby eliminating human error and fatigue in item detection
Solution Approach 2:
The patent creates a visual copy (image) of the merchandise carrier contents and analyzes this copy to detect items. The imaging device captures a representation of the carrier and its contents, allowing the system to examine the copied visual information without physically interacting with the actual items, enabling non-intrusive detection
2Reliability
If overhead imaging devices are deployed to detect items in merchandise carriers, then real-time detection of remaining items is achieved, but the device complexity and cost of the checkout system increases
Solution Approach 1:
The imaging system serves multiple functions: it detects items remaining in carriers, verifies that scanned items match physical items, provides visual records for audit purposes, and can identify potential theft. This multi-functionality justifies the added complexity by delivering comprehensive inventory management capabilities beyond simple detection
Solution Approach 2:
The system enables self-service detection where the imaging apparatus automatically captures and analyzes images without requiring manual intervention. The computer vision algorithms autonomously process the visual data to identify items, reducing the need for human operators to manually inspect each carrier while maintaining high reliability
Data Source
AI summary
Methods and systems to detect items left in merchandise carriers are disclosed. A disclosed example system includes: an input device configured to receive an indication that a merchandise carrier is to be empty from at least one of a user or a device communicatively coupled to the input device; an overhead imaging device configured to capture an image of the merchandise carrier at a checkout station in response to the indication; an image processor configured to detect based on the image an obscuration of a portion of the merchandise carrier by the presence of an item in the merchandise carrier, and generate an alert signal when the portion of the merchandise carrier is obscured; and an output device configured to receive the alert signal and provide a notification of the presence of the item in the merchandise carrier.