Projects per year
Description
The file contains data collected from three sensors: AS72651, AS72652, and AS72653. Each of these sensor-specific files includes three folders representing different measurement distances: 12mm, 16mm, and 20mm. These folders contain data collected from 12 different filaments. Additionally, there is data recorded without a filament, labeled as "no_object." The following example of organizational structure is consistent across all filament data.
Folder : AS72651 ->12mm->first measurement: abs_carbonfiber1.csv
->second measurement: abs_carbonfiber2.csv
->third measurement: abs_carbonfiber3.csv
->three measurements together: abs_carbonfiber.csv
Each collected dataset is stored in CSV format. The data can be utilized for filament recognition using machine learning models, enabling the identification of different filament types based on sensor measurements.
Folder : AS72651 ->12mm->first measurement: abs_carbonfiber1.csv
->second measurement: abs_carbonfiber2.csv
->third measurement: abs_carbonfiber3.csv
->three measurements together: abs_carbonfiber.csv
Each collected dataset is stored in CSV format. The data can be utilized for filament recognition using machine learning models, enabling the identification of different filament types based on sensor measurements.
Date made available | 3 Mar 2025 |
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Publisher | University of Bath |
Projects
- 1 Active
-
Manufacturing in Hospital: BioMed 4.0
Leese, H. (PI), Castro Dominguez, B. (CoI), Flynn, J. (CoI), Gill, R. (CoI), Martinez Hernandez, U. (CoI), Moise, S. (CoI) & Wilson, P. (CoI)
Engineering and Physical Sciences Research Council
2/11/21 → 29/08/25
Project: Research council