FGH2024 Computer Vision Project

test008H

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Classes (20)
CONNECTIONCABLE
CONNECTIONCABLE_DOUBLE
CONNECTIONCABLE_EUR
CONNECTIONCABLE_EURDOUBLE
MICROPHONE
MICROPHONE_DOUBLE
MMC
MMC_G
MMC_GDOUBLE
RCSR1
RCSR1_DOUBLE
TAPECONNECTOR
TAPECONNECTOR_DOUBLE
TIEWRAP
TIEWRAP_DOUBLE
USB1
USB11
USB1_DOUBLE
USB2
USB2_DOUBLE
Description

Here are a few use cases for this project:

  1. Electronics Inventory Management: The "HHcam1" can be used in hardware stores or warehouses to identify and sort different classes of electronic materials such as customizable microphones, different types of connection cables, USB types, and multimediacard graphics. This could automate the inventory management process, reducing labor costs and increasing efficiency.

  2. Waste Segregation: In waste segregation projects, "HHcam1" can be used to identify electronic waste components. By identifying items such as RCSR1 and connection cables, the model could aid recycling efforts by sorting appropriate materials.

  3. Assembly Line Verification: In electronics manufacturing, "HHcam1" can be used on assembly lines to verify the presence and correctness of specific components (like a TIEWRAP or TAPECONNECTOR) at different stages of the production process.

  4. Technical Support and Troubleshooting: The model could be integrated into a mobile app to help novice users in DIY electronics or computer hardware projects. By identifying components such as CONNECTIONCABLE_EUR or USB11, the app could advise on proper equipment use or problem solving techniques.

  5. Educational Purposes: For technology-based education or training courses, "HHcam1" can be utilized as a tool to help students in classes like electronics or ICT identify specific components such as a MICROPHONE, RCSR1, or MMC_G. This will aid their understanding of various hardware components.

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{
                            fgh2024_dataset,
                            title = { FGH2024 Dataset },
                            type = { Open Source Dataset },
                            author = { test008H },
                            howpublished = { \url{ https://universe.roboflow.com/test008h/fgh2024 } },
                            url = { https://universe.roboflow.com/test008h/fgh2024 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { nov },
                            note = { visited on 2024-12-23 },
                            }
                        
                    

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