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Low Frequency Vibration Visual Monitoring System Based on Multi-Modal 3DCNN-ConvLSTM
Alimina Alimasi1, Hongchen Liu1, Chengang Lyu1
1School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China.
This study introduces a novel system for low-frequency vibration monitoring using an RGB-D camera and deep learning. The system achieves 93% accuracy, enhancing environmental safety and engineering practices.
Area of Science:
- Engineering
- Computer Science
- Environmental Science
Background:
- Low-frequency vibration monitoring is crucial for environmental safety and engineering.
- Visual data from RGB-D cameras offers rich spatial information for vibration analysis.
- Deep learning models can extract complex spatial-temporal features from visual data.
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