3d printer detection Computer Vision Project
Updated 2 years ago
294
18
Metrics
Here are a few use cases for this project:
-
Manufacturing Quality Control: The 3D printer detection model can be used in manufacturing environments to monitor 3D printing processes. It can identify any potential anomalies or defects in the produced parts, ensuring intricate architecture (like columns) are made accurately.
-
Education and Training: This model can be utilized in educational settings for teaching students about 3D printing technology. It can help students to better understand the process by identifying the parts being printed, for instance, columns in a model infrastructure.
-
Supply Chain Management and Inventory Control: Businesses that involve 3D printed items, like a plastic basket with holes or other parts, can use this model to track and identify their products. This can be useful for inventory control and logistics operations.
-
Authentication and Anti-counterfeiting: The model can be used in identifying authentic 3D printed models from counterfeited ones. It can help to notice tiny details specific to original manufacturing techniques like the printing of particular components like columns.
-
3D Printing Services: Companies offering 3D printing services can use this model to confirm the completion of a project. Upon customer request, they can identify and analyze specific parts of the printed model, like columns or other intricate details, to ensure the printed results meet the desired specifications.
Use This Trained Model
Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.
Build Computer Vision Applications Faster with Supervision
Visualize and process your model results with our reusable computer vision tools.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
3d-printer-detection_dataset,
title = { 3d printer detection Dataset },
type = { Open Source Dataset },
author = { Kyungpook National University },
howpublished = { \url{ https://universe.roboflow.com/kyungpook-national-university-dolkz/3d-printer-detection } },
url = { https://universe.roboflow.com/kyungpook-national-university-dolkz/3d-printer-detection },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { jun },
note = { visited on 2024-12-03 },
}