Case Studies
Automatic Drill Hole Detection for Airbag Assemblies
POSTED 12/17/2024
Overview
Detecting drilled holes with precision is vital for airbag assembly processes, as it directly impacts the accuracy of subsequent robotic operations. A solution was required to automatically identify and measure hole features of various sizes across different airbag components and transfer their precise positions to a robot.
Challenges
- Variety of Hole Sizes: Drilled holes varied in diameter, requiring a detection system adaptable to multiple dimensions.
- Reference Alignment: Accurate detection required positional alignment with a reference coordinate system to ensure seamless robotic integration.
- Cycle Time Constraints: Detection needed to occur dynamically within the production cycle to maintain efficiency.
Solution
To meet these challenges, a combination of dark field illumination and a circular detection algorithm was implemented.
- Dark Field Illumination: Enhanced the contrast of hole edges against the surface, ensuring robust detection of features even in varying lighting conditions.
- Circular Detection Algorithm: Provided precise identification of hole shapes and sizes, enabling dynamic detection across a range of components.
- Reference System Integration: Ensured all detected positions were accurately aligned with a reference coordinate system for robotic positioning.
Results
The implemented solution delivered:
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- Versatility: Detection of holes across a wide range of sizes without additional adjustments.
- Dynamic Feature Detection: Automatic adaptation to variations in components, ensuring consistent performance.
- Production Cycle Integration: Seamless detection and measurement within the production cycle, avoiding downtime or delays.
Conclusion
The automatic drill hole detection system provided a reliable and efficient method for identifying and positioning hole features in airbag assemblies. By combining advanced illumination techniques with dynamic algorithms, the solution met production demands while enhancing accuracy and adaptability, ensuring a streamlined process for downstream robotic operations.