Automated Shopping Cart Wheel Defect Detection
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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 used, then defective carts can be identified, but it requires significant labor time and human resources
Solution Approach 1:
The patent replaces manual mechanical inspection with an automated image processing system using cameras and computer vision algorithms. The system captures images of cart wheels, processes them through software algorithms, and automatically identifies defects such as wobbling, damage, or improper attachment, eliminating the need for manual visual inspection by staff.
Solution Approach 2:
The system enables carts to essentially self-report their condition through the image processing system. As carts pass through detection zones, cameras automatically capture and analyze wheel conditions without requiring active intervention from inspection personnel, making the detection process autonomous and continuous.
2Productivity
If automated image processing system is implemented, then inspection speed and coverage are improved, but system complexity and initial cost increase
Solution Approach 1:
The patent employs a universal image processing system that can detect multiple types of wheel defects (wobbling, damage, improper attachment) using the same hardware platform and software algorithms. This multi-functional approach allows a single system to perform various inspection tasks, reducing the need for multiple specialized devices and simplifying overall system architecture.
3Reliability
If frequent manual inspection is performed, then cart quality is maintained, but operational efficiency and customer service are reduced
Solution Approach 1:
The automated image processing system operates continuously as carts move through the store, providing constant monitoring of wheel conditions without interrupting customer service operations. Unlike manual inspection which requires periodic stopping of carts, the automated system maintains continuous detection capability while carts remain in circulation, ensuring both reliability and operational efficiency.
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.