board_qrcode_segment Computer Vision Project

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Updated a year ago

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Description

Here are a few use cases for this project:

  1. Manufacturing Quality Control: The model can be used in factories to automate the process of checking components on a board. By identifying each part (QR code, rectangular or circular objects), it can rapidly determine if all components are present and correctly situated.

  2. Inventory Management: In warehousing or storage facilities, the model could quickly scan boards with QR codes, identify the codes and item shape, hence ensuring efficient tracking and organization of items.

  3. Retail: The model could be used in shops to identify product information. By scanning QR codes on the product boards, it can provide details such as price, product origin, etc., hence improving the shopping experience.

  4. Interactive Gaming: In interactive board games, it can be used to identify different pieces based on their shapes (rectangle, circle) and QR codes to track game progress or rules.

  5. Education: The model could benefit teaching and learning, especially in STEM fields. For example, students can use the computer vision model to identify components on a circuit board or other technical devices.

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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{
                            board_qrcode_segment_dataset,
                            title = { board_qrcode_segment Dataset },
                            type = { Open Source Dataset },
                            author = { Segment },
                            howpublished = { \url{ https://universe.roboflow.com/segment-blktx/board_qrcode_segment } },
                            url = { https://universe.roboflow.com/segment-blktx/board_qrcode_segment },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { oct },
                            note = { visited on 2024-11-21 },
                            }
                        
                    

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