leftitem Computer Vision Project

Taekyu Ryu

Updated 2 years ago

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Description

Here are a few use cases for this project:

  1. Lost and Found Object Identification: The "leftitem" model can be used to help users quickly identify and catalog items commonly misplaced or lost in public spaces such as offices, gyms, or transportation hubs. By identifying keys, car keys, and cell phones, staff members can easily match the found item with their respective owner's descriptions in lost and found databases.

  2. Security and Access Control: The "leftitem" model can be integrated into security systems for controlled access to specific areas in commercial or residential buildings. By recognizing the specific type of key or keychain being used, the system can grant or deny access accordingly, providing an extra layer of security.

  3. Assisting People with Visual Impairments: The "leftitem" model can be incorporated into assistive applications or devices for the visually impaired, helping them identify these commonly used items when scanning their surroundings or personal belongings, thus increasing their level of independence.

  4. Inventory Management and Tracking: Businesses dealing in sales, repairs or manufacturing of keys, car keys, and cell phones can utilize the "leftitem" model to automatically recognize and categorize their inventory items. This can help improve their organization, track stock levels, and monitor product lifecycles more efficiently.

  5. Smart Home Automation: The "leftitem" model can be used to create innovative smart home solutions that recognize when a user is holding a specific key or cell phone, triggering specific actions or settings in their living space. For example, adjusting lighting preferences or activating security systems when a resident arrives home, holding their car keys or smartphone.

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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{
                            leftitem_dataset,
                            title = { leftitem Dataset },
                            type = { Open Source Dataset },
                            author = { Taekyu Ryu },
                            howpublished = { \url{ https://universe.roboflow.com/taekyu-ryu/leftitem } },
                            url = { https://universe.roboflow.com/taekyu-ryu/leftitem },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jan },
                            note = { visited on 2024-11-14 },
                            }
                        
                    

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