Welding detection Computer Vision Project
Updated a year ago
Here are a few use cases for this project:
-
Manufacturing Quality Control: This computer vision model could be used in manufacturing processes to monitor and regulate welding quality in real time, identifying any deviations from standard welding techniques such as Soi_xi and Khong_ngau.
-
Industrial Automation: Automate weld detection in factories using robotic welding machines. It could help the machines in recognizing and optimising the correct method of welding needed for different types of jobs.
-
Safety Training and Education: It could be used in interactive education or training applications for welding technicians, providing real-time feedback on proper technique.
-
Maintenance Inspections: Especially in heavy industries such as oil and gas, automotive, and shipbuilding, aerial and underwater inspections of pipelines or ships can involve detecting anomalies in welding. This model could aid in identifying, classifying, and rating the correctness and quality of welds.
-
Augmented Reality Applications: In an AR welding setting, this model could provide users with real-time feedback on the quality of their welds, the welding techniques used, and suggestions for improvement.
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{
welding-detection_dataset,
title = { Welding detection Dataset },
type = { Open Source Dataset },
author = { ptdong.st@gmail.com },
howpublished = { \url{ https://universe.roboflow.com/ptdong-st-gmail-com/welding-detection } },
url = { https://universe.roboflow.com/ptdong-st-gmail-com/welding-detection },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { dec },
note = { visited on 2024-12-28 },
}