Scratch Repair Screening Using Optical and Acoustic Signals
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Solution Overview
Problem
Current device inspection and repair systems often waste resources by performing unnecessary operations, such as scratch buffing on mobile devices with flaws that cannot be satisfactorily repaired, leading to inefficiencies and resource wastage.
Innovation Solution
A system that uses signal-based determinations and prediction models to assess whether a repair process is needed by detecting flaws on a device using sensors and physically interacting with the device to obtain signals, which are then analyzed to decide if a repair process should be performed, thereby reducing resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If scratch buffing is performed on all devices with detected scratches, then potential repairable devices are not missed, but resources are wasted on non-repairable devices
Solution Approach 1:
The system performs preliminary assessment actions (optical scanning, physical probing, signal analysis) before committing to the full repair process. This preliminary evaluation identifies only those devices that will actually benefit from repair, preventing wasteful resource expenditure on non-repairable devices while ensuring repairable devices are not missed.
Solution Approach 2:
The system uses feedback from multiple sensing modalities (optical sensors detecting reflectivity changes, physical probes detecting mechanical responses, acoustic sensors listening for characteristic sounds) to continuously refine its determination of repairability. This feedback loop ensures accurate identification of repairable devices while filtering out non-repairable ones, resolving the contradiction between comprehensive repair coverage and resource efficiency.
2Loss of energy
If comprehensive inspection methods are used to accurately determine repairability, then resource wastage is reduced, but inspection time and complexity increase
Solution Approach 1:
The inspection process is segmented into multiple independent sensing modalities (optical scanning, physical probing, acoustic analysis) that can operate in parallel. Each modality provides specific information about different aspects of scratch characteristics, allowing the system to make rapid comprehensive assessments without sequential delays, thus reducing overall inspection time while maintaining accuracy.
Solution Approach 2:
The system uses mechanical vibration through physical probing to excite characteristic responses from scratches. This vibration-based sensing provides rapid information about scratch depth and structure, enabling quick determination of repairability without time-consuming manual inspection, thereby reducing inspection time while improving resource efficiency.
3Ease of operation
If manual inspection is used to assess scratch repairability, then flexibility and adaptability are maintained, but productivity and consistency are reduced
Solution Approach 1:
The inspection system is self-sufficient, using its own integrated sensors and analysis algorithms to autonomously determine repairability without requiring human inspector intervention. This self-service capability maintains the flexibility and adaptability of manual inspection while dramatically increasing productivity through automated, high-speed processing of multiple devices simultaneously.
Solution Approach 2:
The system replaces manual mechanical inspection with automated sensing systems (optical sensors, physical probes, acoustic detectors) that can rapidly assess multiple devices with consistent precision. This substitution eliminates human variability and speed limitations while preserving the analytical capabilities needed for accurate repairability determination, thereby increasing throughput without sacrificing flexibility.
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 approach reduces resource wastage by accurately determining which devices require repair, ensuring that only necessary processes are executed, thereby enhancing efficiency and productivity in repair facilities.
Implementation Method 1
one or more scratches or other flaws may be detected on a portion of a user device (e.g., via an optical sensor or other sensor)
Implementation Method 2
a physical structure may be caused to physically interact with the portion of the user device... Signals from the physical interaction of the physical structure with the user device may be obtained
Implementation Method 3
Signals from the physical interaction of the physical structure with the user device may be obtained via a microphone or other sensor
Data Source
AI summary
In certain embodiments, device inspection or repair may be facilitated via signal-based determinations. In some embodiments, one or more flaws may be detected on a portion of a device via an optical sensor. Based on the detection, a physical structure may be caused to physically interact with the portion of the user device. Information indicating signals from the physical interaction may be obtained. Based on the signal information, a determination of whether a repair process should be performed on the device may be effectuated. The device may be assigned to be repaired via the repair process based on the determination indicating that the repair process should be performed on the device. In some embodiments, the signal information may be provided to a prediction model to determine whether the repair process should be performed on the device.