Conveyor belt speed detection via the synergistic fusion of optical flow and feature matching
Di Miao, Yimin Wang, Yuming Bai, Guoliang Fu, Jingyu Wang · 2025
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Description
Di Miao and co-authors present a camera method for measuring conveyor belt speed, in this 2025 paper. Belt speed matters for spotting faults and keeping plants running well. Single methods can falter: pixel motion tracking is fast but noisy, while point matching is exact but sparse.
Their method fuses the two so each covers the other's weakness. A Bayesian weighting scheme trusts each method in line with its accuracy and the light at hand. The blended result yields the final speed. The authors report gains in detection performance, with uses in plant monitoring and fault diagnosis for belt systems.
Catalog record
| CREATOR | Di Miao, Yimin Wang, Yuming Bai, Guoliang Fu, Jingyu Wang |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 44 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |