220530_hallway_rev0601 Computer Vision Project

rotemforward

Updated 3 years ago

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Classes (4)
backdks
dks
person robot
Description

Here are a few use cases for this project:

  1. Autonomous Indoor Navigation: This model could be used in autonomous cleaning robots or delivery robots to navigate indoor environments like hallways and rooms. The robots can identify obstacles such as furniture (dks and backdks), people, or other robots, and maneuver around them efficiently.

  2. Assisted Living Applications: The model could be utilized in assistive technology for elderly or disabled individuals. It can help identify potential obstacles in their path, assisting in preventing falls or accidents.

  3. Augmented Reality Games / Experiences: In AR-based mobile games or experiences where users have to interact with their real-world environment, this model could improve user experience by better incorporating real world obstacles into the game's dynamics.

  4. Real-Time Surveillance Systems: This model can be implemented in surveillance systems to detect movements and recognize whether it's a person, robot, or an inanimate object, enhancing the system's response and alert mechanisms.

  5. Indoor Mapping and Layout Planning: The model could assist in creating digital representations of indoor environments, identifying obstacles, and aiding in better layout planning for efficient space utilization.

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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{
                            220530_hallway_rev0601_dataset,
                            title = { 220530_hallway_rev0601 Dataset },
                            type = { Open Source Dataset },
                            author = { rotemforward },
                            howpublished = { \url{ https://universe.roboflow.com/rotemforward-uya1z/220530_hallway_rev0601 } },
                            url = { https://universe.roboflow.com/rotemforward-uya1z/220530_hallway_rev0601 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { jun },
                            note = { visited on 2024-12-26 },
                            }