Abstract
Avionics electronic connectors have a wide use and play a significant role in instrumentation and aerospace system. To substitute manual detection, we propose an automatic in-station connector pin detection system based on computer vision, machine vision, deep learning, and industrial robots. This system provides a high-reliable, high-accuracy, traceable, quantifiable, and real-time detection for connector pins.
| Original language | English |
|---|---|
| Article number | 012048 |
| Journal | Journal of Physics: Conference Series |
| Volume | 2218 |
| Issue number | 1 |
| DOIs | |
| State | Published - 29 Mar 2022 |
| Externally published | Yes |
| Event | 2021 3rd International Conference on Computer, Communications and Mechatronics Engineering, CCME 2021 - Virtual, Online Duration: 17 Dec 2021 → 18 Dec 2021 |
Keywords
- CNN
- Character recognition
- Pin detection
- Template matching
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