18213208. WAVELENGTH-BASED FAULT DETECTION FOR PHYSICAL COMPONENTS simplified abstract (Apple Inc.)
Contents
- 1 WAVELENGTH-BASED FAULT DETECTION FOR PHYSICAL COMPONENTS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 WAVELENGTH-BASED FAULT DETECTION FOR PHYSICAL COMPONENTS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
WAVELENGTH-BASED FAULT DETECTION FOR PHYSICAL COMPONENTS
Organization Name
Inventor(s)
Mikael B. Mannberg of San Jose CA (US)
Kai Zheng of Cupertino CA (US)
WAVELENGTH-BASED FAULT DETECTION FOR PHYSICAL COMPONENTS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18213208 titled 'WAVELENGTH-BASED FAULT DETECTION FOR PHYSICAL COMPONENTS
Simplified Explanation
The disclosure provides techniques for detecting faults with physical components by selectively causing output of light into a cover and capturing an image of the cover to determine visibility of the light in the image.
- Detect misalignment of physical components (e.g., cover or camera).
- Detect contaminants affecting data captured by a sensor (e.g., substances on or near a surface of a physical component, physical changes like deformation or cracks).
Potential Applications
This technology can be applied in various industries such as manufacturing, automotive, aerospace, and consumer electronics for quality control and fault detection purposes.
Problems Solved
1. Efficient detection of faults in physical components. 2. Improved accuracy in identifying misalignments and contaminants affecting sensor data.
Benefits
1. Enhanced quality control processes. 2. Increased efficiency in fault detection. 3. Cost savings through early identification of issues.
Potential Commercial Applications
Optimizing production processes, enhancing product quality, and reducing maintenance costs in industries such as manufacturing, automotive, aerospace, and consumer electronics.
Possible Prior Art
Prior art may include techniques for fault detection in physical components using different imaging methods or sensors. Research in the field of quality control and inspection systems may also be relevant.
Unanswered Questions
How does this technology compare to existing fault detection methods in terms of accuracy and efficiency?
The article does not provide a direct comparison with existing methods, leaving room for further analysis on the effectiveness of this technique.
What are the potential limitations or challenges in implementing this technology in different industries?
The article does not address potential obstacles or constraints that may arise when integrating this technology into various industrial settings, warranting further exploration into practical applications and adaptability.
Original Abstract Submitted
This disclosure provides more effective and/or efficient techniques for detecting faults with physical components using an example of selectively causing output of light into a cover and capturing an image of the cover to determine whether the light is visible in the image. Some techniques are described herein for detecting misalignment of one or more physical components (e.g., a cover or a camera). Other techniques are described herein for detecting contaminants (e.g., substances at or near a surface of a physical component and/or a physical change to the physical component, such as a deformation or a crack of the cover) affecting data captured by a sensor.
