tir_project Computer Vision Project

iheb

Updated 2 years ago

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Classes (3)
Tir
forklift
insan
Description

Here are a few use cases for this project:

  1. Warehouse Management: The "tir_project" model can be used in warehouses to manage equipment and staff operations. It can identify the presence and location of forklifts and humans, enhancing safety measures and efficiency.

  2. Workplace Safety in Industrial Environments: Industries can use the model to monitor their sites and enforce safety measures by ensuring forklifts aren't operated and parked in unsafe locations and monitoring human presence in hazardous areas.

  3. Tracking and Inventory Systems: Logistical companies could use this model in their inventory systems. By identifying items like forklifts and people, the model could assist in real-time tracking of equipment utilization and employee working patterns.

  4. Real-time monitoring in Construction Sites: Construction companies could use this model to keep track of their heavy machinery and human workers' real-time location, which can help in proper scheduling and ensuring safety protocols.

  5. Automated Surveillance: It can be employed in automation of security systems for detecting humans and heavy machinery, especially in restricted areas, alerting the system of any unauthorized presence or movement.

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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{
                            tir_project_dataset,
                            title = { tir_project Dataset },
                            type = { Open Source Dataset },
                            author = { iheb },
                            howpublished = { \url{ https://universe.roboflow.com/iheb/tir_project } },
                            url = { https://universe.roboflow.com/iheb/tir_project },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { jun },
                            note = { visited on 2024-11-26 },
                            }
                        
                    

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