Camera Flash Self-Diagnostics Using Image Brightness Analysis
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Solution Overview
Problem
Manual diagnostic tests for camera flash operational status in mobile electronic devices are time-consuming and prone to human error or fraud.
Innovation Solution
A method using a camera to capture images with and without the light source enabled, analyzing camera settings and image properties to determine the operational status of the light source.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual diagnostic tests are used to check camera flash operational status, then the testing process can be performed with simple equipment, but the testing is time-consuming and prone to human error
Solution Approach 1:
The camera flash unit performs self-diagnosis by automatically capturing test images with the flash enabled and disabled, then analyzing the images to determine its own operational status. The processor extracts image properties such as brightness values and compares them to reference values stored in memory, eliminating the need for manual testing by technicians.
Solution Approach 2:
The patent replaces manual mechanical inspection with an automated optical-electronic system. The camera captures images, the processor analyzes image data through algorithms comparing brightness properties, and the system automatically determines flash operational status, substituting human visual inspection with machine-based image processing.
2Measurement precision
If automated image analysis is used to test light source operational status, then testing accuracy is improved, but device complexity increases
Solution Approach 1:
The camera unit serves multiple functions: it acts as both the test subject (having its flash tested) and the testing instrument (capturing images to analyze flash operation). The processor performs both image capture control and image analysis, while memory stores both reference values and captured image data, eliminating the need for separate dedicated testing equipment.
Solution Approach 2:
The system creates a digital copy of the scene through image capture, then analyzes this copy to determine flash operational status. Instead of directly measuring light output with specialized sensors, the system uses the camera's image sensor to create an image representation that can be processed and compared against reference images.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This method allows for automated and accurate testing of the camera flash, reducing time and human error, and providing a reliable assessment of the light source's operational status.
Implementation Method 1
using the camera to capture a first image when the light source is disabled; using the camera to capture a second image when the light source is enabled
Data Source
AI summary
A method for use in testing an operational status of a light source for illuminating a scene, comprises using a camera to capture a first image when the light source is disabled, the light source having a fixed spatial relationship relative to the camera, and using the camera to capture a second image when the light source is enabled. The method comprises determining a test result indicating the operational status of the light source based at least in part on a light source setting when the camera captures each of the first and second images, the light source setting indicating whether the light source is disabled or enabled when the camera captures the first and second images and at least one of: one or more camera settings when the camera captures the first and second images, and one or more image properties of the first and second images. Such a method may be used for testing the operational status of a light source and, in particular, though not exclusively, for use in automatically testing the operational status of a camera flash of a mobile electronic device.