vinc Computer Vision Project

aivis tech

Updated 3 years ago

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Classes (4)
0
1
aload
zcrane
Description

Here are a few use cases for this project:

  1. Construction Site Monitoring: "vinc" could be used to monitor heavy machinery status in construction zones, identifying whether a crane (zcrane) is in use, and how much load (aload) it's carrying.

  2. Industrial Surveys: The model could be employed in industrial environments to assess the condition and use of heavy machinery across different sites, systematically identifying the number of cranes and various weight classes of loads.

  3. Virtual Training Programs: Within simulator based programs for crane operators, "vinc" could be applied for analyzing operator's performance, identifying whether the operator is handling the crane correctly according to the load.

  4. Incident Detection and Reporting: In an automated surveillance system, "vinc" can be used to detect anomalies such as overloading of cranes which could potentially lead to accidents.

  5. Insurance Claims Verification: After industrial accidents, the "vinc" model could be used to retrospectively analyze footage from the incident. Understanding the crane usage and load at the time of the accident could help in validating insurance claims.

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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{
                            vinc_dataset,
                            title = { vinc Dataset },
                            type = { Open Source Dataset },
                            author = { aivis tech },
                            howpublished = { \url{ https://universe.roboflow.com/aivis-tech-vfxeo/vinc } },
                            url = { https://universe.roboflow.com/aivis-tech-vfxeo/vinc },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { jan },
                            note = { visited on 2024-12-22 },
                            }
                        
                    

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