Panel Computer Vision Project

Mayank Purohit

Updated 2 years ago

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Description

Here are a few use cases for this project:

  1. Use Case: Inventory Management in Construction The "Panel" model could be used in construction sites or warehouses to automatically identify and manage types and sizes of panels like 600X2400, 600X1200, etc., through surveillance footage or drone imagery. This aids in regular inventory updates, optimizing stock control, and preventing potential theft or misplacement.

  2. Use Case: Online Retail Cataloging E-commerce platforms dealing with construction materials could utilize the "Panel" model to help identify the panel types in product photos, enabling better tagging and accurate product descriptions. This aids users in seamless search and discovery experience.

  3. Use Case: In-Store Products Classification Retail stores selling furniture or construction materials could leverage "Panel" model to classify panels on the shelves for easier product management and store navigation. System would be able to update the store map in real time as panels move or run out of stock.

  4. Use Case: Automating Quality Control Manufacturers of panels could utilize the "Panel" model to perform automated quality checks. The model can scan and identify any inconsistencies in the standard dimensions of the panels like 600X2400, 600X1200, etc., to ensure that only top-quality products reach the market.

  5. Use Case: Augmented Reality Panel Placement Interior designers or architects could use an app integrated with the "Panel" model to visualize the placement of different types and sizes of panels in a room. By recognizing the panel, the software could demonstrate how various types/styles of panels would look in a given space, simplifying the design decision-making process.

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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{
                            panel-rk998_dataset,
                            title = { Panel Dataset },
                            type = { Open Source Dataset },
                            author = { Mayank Purohit },
                            howpublished = { \url{ https://universe.roboflow.com/mayank-purohit-g0ebu/panel-rk998 } },
                            url = { https://universe.roboflow.com/mayank-purohit-g0ebu/panel-rk998 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { dec },
                            note = { visited on 2024-11-13 },
                            }
                        
                    

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