Camera Sensor Dust Detection via Pixel Analysis
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Solution Overview
Problem
The complexity of manual camera set-up processes for checking dust on camera sensors, particularly for ordinary users, is a significant issue as it increases the risk of contamination and is not efficiently addressed by existing methods.
Innovation Solution
A camera system with a photo-sensitive element and a controller that captures images, converts pixel color levels into gray or green level values, and generates alarm messages when thresholds are exceeded, allowing for automatic detection and display of dust locations on the sensor, thereby simplifying the dust-checking process and reducing contamination risks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual camera set-up processes are used to check for dust on the sensor, then the dust-checking function can be performed, but the process becomes extremely complex and difficult for ordinary users to operate
Solution Approach 1:
The camera system performs self-diagnosis by automatically capturing images and analyzing pixel values to detect dust on the sensor. The controller autonomously processes the captured image data, compares pixel values against threshold criteria, and generates alarm messages without requiring manual intervention or complex user operations.
Solution Approach 2:
The patent replaces manual mechanical inspection processes with an automated electronic detection system. The controller uses electronic image processing and pixel value analysis to detect dust, substituting the need for manual visual inspection and complex camera setup procedures with an automated computational approach.
2Reliability
If manual camera set-up processes are used to check for dust on the sensor, then the dust-checking function can be performed, but the process requires extensive manual setup and time consumption
Solution Approach 1:
The camera system performs preliminary dust detection automatically as part of the normal operation flow. The controller captures images and analyzes pixel values in the background without requiring users to perform time-consuming manual setup procedures, thereby reducing the time loss associated with dust checking.
Solution Approach 2:
The system performs self-diagnosis by automatically capturing images and analyzing pixel values to detect dust on the sensor. The controller autonomously processes the captured image data, compares pixel values against threshold criteria, and generates alarm messages without requiring manual intervention or complex user operations.
3Measurement precision
If complex manual processes are used for dust checking, then thorough inspection can be achieved, but the risk of contamination increases during the process
Solution Approach 1:
The patent replaces manual mechanical inspection processes with an automated electronic detection system. The controller uses electronic image processing and pixel value analysis to detect dust, substituting the need for manual visual inspection and complex camera setup procedures with an automated computational approach that eliminates physical contact and reduces contamination risk.
Solution Approach 2:
The system uses captured images as an intermediary to detect dust. Instead of direct manual inspection that risks contamination, the controller analyzes pixel values from images as an indirect method, allowing dust detection without requiring users to physically interact with the sensor area.
Data Source
AI summary
A camera includes a photo-sensitive element and a controller. The controller is electrically connected to the photo-sensitive element. The photo-sensitive element is configured to capture an image of an object. The controller is configured to convert a color level value of each of pixels of the image into an image gray level value, and the controller is configured to generate an alarm message to display on a screen of the camera when one of the image gray level values is higher than a predetermined gray level threshold value.