new3 Computer Vision Project

Ayan Banerjee

Updated 3 years ago

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Classes (8)
BLOW-HOLE
INCLUSION
LOF
PIPING
porosoties
valley
weld-bead
wormhole
Description

Here are a few use cases for this project:

Use Case 1: Automated Quality Inspection in Manufacturing The "new3" computer vision model can be implemented to detect weld defects in real-time during the welding process, allowing manufacturers to identify and rectify issues promptly, ensuring product quality and reducing waste.

Use Case 2: Welding Training and Education The model can help train and educate novice welders by providing feedback on their welds, enabling trainees to improve their skills quickly and avoid the development of poor habits. Instructors can also use the model to demonstrate different types of defects.

Use Case 3: Maintenance and Repair in Infrastructure By implementing "new3" in inspection and maintenance processes, workers can leverage this technology to identify weld defects within structures or equipment, such as in bridges, buildings, or pipelines. Early detection of these issues enables the appropriate action to be taken, preventing potential damage or failure.

Use Case 4: Non-Destructive Testing in Research and Development Researchers can use the "new3" computer vision model as a component of non-destructive testing to examine the quality of various welding techniques, materials, or equipment. By doing so, they can gather data for analysis and refine these processes.

Use Case 5: Welding Equipment Diagnostics The "new3" model could be integrated into welding equipment software to provide welders with real-time feedback on the equipment's performance and health. By detecting and analyzing weld defects, software can alert welders to malfunctions or necessary adjustments to ensure high-quality welds.

Supervision

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Cite This Project

LICENSE
CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            new3-t8ryj_dataset,
                            title = { new3 Dataset },
                            type = { Open Source Dataset },
                            author = { Ayan Banerjee },
                            howpublished = { \url{ https://universe.roboflow.com/ayan-banerjee-9q6bh/new3-t8ryj } },
                            url = { https://universe.roboflow.com/ayan-banerjee-9q6bh/new3-t8ryj },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { apr },
                            note = { visited on 2024-11-21 },
                            }
                        
                    

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