Mobile Terminal Image Recognition for Dishwasher Loading Guidance
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Solution Overview
Problem
Conventional dishwashers lack guidance for optimal washing of tableware based on type, material, amount, and posture, leading to inefficient washing and potential damage to unsuitable items.
Innovation Solution
A mobile terminal photographs the dishwasher interior, transmits images to a server for dish information, and displays guidance on placement, detergent amount, and washing course, allowing users to adjust tableware disposition and prevent damage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a conventional dishwasher is used without image recognition, then the device complexity is low, but the washing guidance accuracy and tableware protection capability are insufficient
Solution Approach 1:
The patent introduces a mobile terminal as an intermediary device that performs image recognition and generates washing guidance. The mobile terminal acts as a mediator between the user and the dishwasher, transferring the complex image processing function from the dishwasher system to the user's mobile device, thereby achieving accurate dishware recognition without increasing the complexity of the dishwasher itself.
Solution Approach 2:
The system enables self-service by allowing the mobile terminal to automatically capture images, recognize dishware types and materials, and generate washing guidance without requiring manual input from the user. The mobile terminal autonomously processes the image data and provides recommendations for detergent amount, washing course, and tableware placement.
2Productivity
If the dishwasher determines detergent amount and washing course manually, then the ease of operation is high, but the washing efficiency and effectiveness are reduced
Solution Approach 1:
The system implements feedback by using the mobile terminal to capture images of the dishwasher interior, analyze the tableware configuration, and automatically adjust detergent amount and washing course recommendations based on the detected tableware types, materials, and quantities. This closed-loop feedback mechanism optimizes washing parameters according to actual loading conditions.
Solution Approach 2:
The patent dynamically changes washing parameters (detergent amount, washing course, temperature, time) based on the image recognition results. The system adjusts these parameters automatically according to the detected tableware characteristics, such as using gentler cycles for delicate materials like glass and more intensive cycles for durable materials like metal.
3Reliability
If tableware placement is not guided, then the ease of operation is high, but the washing quality and tableware protection are compromised
Solution Approach 1:
The system performs preliminary action by analyzing the tableware placement through image recognition before the washing cycle begins. The mobile terminal captures the initial state of tableware arrangement, identifies potential placement issues, and provides guidance recommendations to prevent damage during washing, allowing users to adjust placement beforehand.
Solution Approach 2:
The patent replaces manual inspection and judgment of tableware placement with an automated optical recognition system. The mobile terminal's camera and image processing algorithms substitute for human visual assessment, objectively analyzing tableware positions, orientations, and potential conflicts that could lead to damage during washing.
Data Source
AI summary
A mobile terminal according to an embodiment disclosed herein can capture an image of the inside of a dishwasher through a camera, transmit the captured image to a server, receive dish information from the server, and display washing guide information of the dishwasher on the display unit on the basis of the received dish information.