Shopping Cart Wheel Defect Detection via Image Processing
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Solution Overview
Problem
Shopping carts with damaged or defective wheels become difficult to maneuver, causing user frustration and discomfort, which can discourage customers from returning to the establishment, as existing methods lack an efficient way to identify and remove such carts from circulation.
Innovation Solution
A system comprising cameras and an image processing module that tracks and analyzes the movement patterns of shopping carts to identify symptomatic damage or defects, alerting associates to remove or repair problematic carts through a smartphone application.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual inspection of cart wheels is performed, then defective carts can be identified, but labor time and operational efficiency are reduced
Solution Approach 1:
The patent replaces manual mechanical inspection of cart wheels with an automated image processing system using cameras and computer vision algorithms. The system captures images of cart wheels and automatically analyzes them to detect defects, eliminating the need for manual visual inspection while maintaining high detection accuracy.
Solution Approach 2:
The cart wheel inspection system performs self-detection by automatically capturing images, processing them through algorithms, and identifying defects without human intervention. The system serves itself by autonomously completing the inspection task that previously required manual labor.
2Productivity
If automated image processing is implemented, then inspection speed and efficiency are improved, but system complexity increases
Solution Approach 1:
The inspection system is divided into separate functional modules: image capture module with cameras, image processing module with algorithms, and result output module. This segmentation allows each component to be optimized independently and simplifies the overall system architecture by breaking down the complex inspection task into manageable stages.
Solution Approach 2:
The image processing system is designed to handle multiple types of cart wheel defects and various cart configurations using a single unified platform. The system can inspect different wheel types, detect multiple defect categories, and adapt to various lighting conditions, reducing the need for multiple specialized systems.
3Ease of operation
If frequent cart inspections are conducted, then customer comfort is maintained, but operational costs increase
Solution Approach 1:
The inspection system operates periodically at strategic points in the store rather than continuously monitoring all carts. Carts are inspected at regular intervals as they pass through designated camera zones, allowing the system to maintain high detection rates while reducing energy consumption compared to continuous monitoring.
Solution Approach 2:
The system maintains continuous inspection capability by having multiple cameras positioned at different locations, ensuring that carts are inspected throughout their circulation in the store. This continuous coverage maintains customer experience quality while distributing energy consumption across multiple lower-power camera units rather than one high-power continuous system.
Data Source
AI summary
A system and method of identifying carts exhibiting tendencies that are indicative of damaged or defective wheels. A shopping cart may be identified and tracked visually through one or more surveillance cameras. By comparing the cart's tracked movement to known symptomatic movement patterns, the system may identify defective or damaged carts. Alternatively, by analyzing movement and positioning of a cart's swiveling wheels, the system may identify defective or damaged carts. Alternatively, by identifying if a customer has abandoned a cart, the system may identify defective or damaged carts. A notification message may be transmitted to an associate to repair or replace the identified problematic cart. The notification may be displayed on a mobile computing device, a workstation, or other like systems.