Gear Mesh Verification Using Smartphone Image Matching
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Solution Overview
Problem
The manual process of gear contact pattern verification is inefficient, relying on visual comparison and paper-based documentation, which is prone to human error and time-consuming, lacking automation and real-time data entry into production systems.
Innovation Solution
An automated method using a smartphone application to scan barcodes, capture images of gear teeth at specific angles, apply a matching algorithm to determine deviations in powder residue patterns, and display pass/fail results, with the ability to update enterprise resource planning systems in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual visual comparison and paper-based documentation are used for gear contact pattern verification, then the process is simple to implement, but the verification time and human error increase significantly
Solution Approach 1:
The patent replaces the manual mechanical process of visual inspection and paper documentation with an automated digital image processing system. The smartphone application captures images of gear contact patterns and uses algorithms to automatically analyze and verify the patterns, eliminating manual visual comparison and significantly reducing verification time while improving accuracy through objective digital measurement.
Solution Approach 2:
The patent creates digital copies of the gear contact patterns through smartphone imaging instead of using physical paper-based documentation. These digital images are then processed and stored electronically, replacing the physical test forms and enabling automated analysis while reducing the time required for manual handling, filing, and retrieval of physical documents.
2Productivity
If manual documentation and quality manager approval processes are used, then the process is easy to manage, but the productivity and real-time data entry capability decrease
Solution Approach 1:
The patent implements self-service automation where the smartphone application autonomously performs image capture, pattern recognition, deviation calculation, and pass/fail determination without requiring manual quality manager intervention for each verification. The system automatically updates the ERP system with test results, eliminating the need for manual documentation and approval workflows while significantly increasing verification throughput.
Solution Approach 2:
The patent performs preliminary automated analysis of gear contact patterns immediately upon image capture, calculating deviations and determining pass/fail status before any human review is needed. This preliminary automated processing enables real-time quality decisions and eliminates subsequent manual steps, thereby increasing productivity despite the added complexity of the automated system.
3Loss of information
If paper-based test forms and physical filing are used, then the system is simple to implement, but data entry efficiency and real-time production system updates are reduced
Solution Approach 1:
The patent replaces the mechanical process of manual data transcription from physical test forms to ERP systems with automated digital data transmission. The smartphone application directly communicates test results to the ERP system through digital interfaces, eliminating manual data entry entirely and ensuring accurate real-time updates while reducing the effort required for data management.
Solution Approach 2:
The patent creates and transmits digital copies of test results directly to the ERP system, replacing the physical copying and filing process. This digital replication ensures accurate data transmission without manual intervention, improving both data accuracy and operational ease by eliminating transcription errors and manual filing efforts.
Data Source
AI summary
A method for automated gear contact pattern verification includes applying a colored powder to at least one gear to be meshed to form contacts on at least one gear tooth of the at least one gear, and using the smartphone, capturing images of the at least one gear tooth. A matching algorithm run on the smartphone may include identifying bounding points of a yellow portion of the at least one gear tooth, the bounding points including a midpoint of the yellow portion; identifying a gear mesh area between the bounding points and a midpoint of the gear mesh area; and determining a deviation in the midpoints of the yellow portion and gear mesh area, wherein the deviation may between approximately 25% and 80%. The test results are displayed on the smartphone, the test results including at least an indication of pass or fail.