Dishwasher Camera Failure Detection Using Static Pixel Analysis
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Solution Overview
Problem
Dishwashers face issues with dish recognition cameras failing due to high temperature, humidity, physical collisions, and contamination, leading to incorrect dish images and potential malfunction.
Innovation Solution
A dishwasher equipped with a dish recognition camera that captures images at different time points, processes them to detect static pixels, brightness changes, and color variations, determining lens damage, panel contamination, and sensor defects, and responds with error messages or repairs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a dish recognition camera is disposed inside the dishwasher to capture dish images, then the dishwasher can recognize dishes and operate appropriately, but the camera is exposed to high temperature, humidity, and physical collisions that cause camera failure
Solution Approach 1:
The system performs preliminary detection of camera status by comparing images captured at different time points. By detecting static pixels that remain unchanged across multiple images, the system can identify camera failures before they cause dishwasher malfunction, allowing for preventive action.
Solution Approach 2:
The controller continuously monitors camera output by comparing successive images and provides feedback on camera health status. When abnormal static pixels are detected exceeding a threshold, the system generates error messages or alerts, creating a closed-loop feedback mechanism that maintains system reliability.
2Device complexity
If the dishwasher operates without detecting camera failures, then the system structure remains simple, but incorrect dish images lead to dishwasher malfunction
Solution Approach 1:
The dishwasher system performs self-diagnosis by automatically comparing images captured by the camera at different time points. The controller identifies static pixels that indicate camera failure and generates appropriate error messages without requiring external intervention, enabling the system to monitor and report its own health status.
3Reliability
If the dishwasher responds to camera failures by stopping operation, then malfunction is prevented, but productivity is reduced due to operational interruptions
Solution Approach 1:
The system detects camera failures in advance by analyzing static pixels in successive images before they cause dishwasher malfunction. By identifying the issue preliminarily and generating error messages, the system allows for planned maintenance or camera replacement during non-operational periods, minimizing impact on productivity.
Data Source
AI summary
According to an implementation of the present disclosure, the dishwasher includes a case forming an outer appearance of the dishwasher and defining an opening at a front side of the case; a door configured to open and close the opening; a tub configured to receive washing water; a sump disposed at a bottom surface of the tub and configured to collect and spray the washing water; a rack disposed inside the sump and configured to accommodate a dish; a dish recognition camera configured to capture an upper portion of the rack and disposed at at least one of an inner surface of the door or an inner surface of the tub; and a controller configured to control operation of the dishwasher and the dish recognition camera.