Assembly Computer Vision Project
Updated 2 years ago
52
views6
downloadsMetrics
Here are a few use cases for this project:
-
Quality Control in Manufacturing: The model can be used in production lines to identify and analyze defects in manufacturing of bins, such as corner or edge damage. Automated scanning can greatly enhance the speed and accuracy of quality control.
-
Stock Management: Warehouse and inventory systems can use this model to automatically categorize incoming goods based on bin-part classes, assisting in organizing inventory and identifying if there is an excess or shortage of any particular part.
-
Post-Production Repair: Used in repair and maintenance departments, the model can help in efficient identification of damaged parts of bins and facilitate their quick mending or replacement.
-
E-commerce: Online retailers can make use of this model to ensure only quality products are listed for sale by scanning and checking for edge, top, sidewall and corner damages before putting them online.
-
Recycling and Waste Management: The model can also be employed in waste sorting facilities to accurately classify and sort bin parts for recycling or proper disposal.
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{
assembly-llgww_dataset,
title = { Assembly Dataset },
type = { Open Source Dataset },
author = { Bin detection },
howpublished = { \url{ https://universe.roboflow.com/bin-detection/assembly-llgww } },
url = { https://universe.roboflow.com/bin-detection/assembly-llgww },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { may },
note = { visited on 2024-12-26 },
}