Apple inc. (20240102938). ARTIFACT-BASED FAULT DETECTION FOR PHYSICAL COMPONENTS simplified abstract
Contents
- 1 ARTIFACT-BASED FAULT DETECTION FOR PHYSICAL COMPONENTS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 ARTIFACT-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
ARTIFACT-BASED FAULT DETECTION FOR PHYSICAL COMPONENTS
Organization Name
Inventor(s)
Mikael B. Mannberg of San Jose CA (US)
KAI Zheng of Cupertino CA (US)
ARTIFACT-BASED FAULT DETECTION FOR PHYSICAL COMPONENTS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240102938 titled 'ARTIFACT-BASED FAULT DETECTION FOR PHYSICAL COMPONENTS
Simplified Explanation
The patent application describes techniques for detecting faults in physical components using light output and image capture.
- Detecting misalignment of physical components
- Detecting contaminants affecting sensor data
Potential Applications
The technology could be applied in industries such as manufacturing, automotive, and aerospace for quality control and maintenance purposes.
Problems Solved
This technology helps in quickly identifying faults in physical components, leading to timely repairs and preventing potential failures.
Benefits
The benefits of this technology include improved efficiency in fault detection, reduced downtime, and cost savings from proactive maintenance.
Potential Commercial Applications
One potential commercial application of this technology could be in the development of automated inspection systems for various industries.
Possible Prior Art
One possible prior art could be the use of similar techniques in the field of computer vision for object detection and recognition.
Unanswered Questions
How does this technology compare to traditional fault detection methods?
The article does not provide a direct comparison between this technology and traditional fault detection methods.
What are the limitations of using light output and image capture for fault detection?
The article does not discuss any limitations or challenges associated with using light output and image capture for fault detection.
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.
