indoor Computer Vision Project

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Description

Here are a few use cases for this project:

  1. Retail Analytics: The "indoor" model can be used in physical retail stores to gather analytics on customer behavior. It can identify human traffic, track pedestrian movement patterns, and monitor customer interaction with products or promotional materials.

  2. Security Surveillance: This model can be used in indoor surveillance systems to monitor pedestrian traffic and detect unusual activities based on pedestrian behavior. It can also help to identify crowded areas and manage evacuation during emergency situations.

  3. Event Management: During exhibitions, trade shows, or large gatherings, this model can help in crowd management, track visitor engagement with different booths or installations, and measure the effectiveness of the event setup.

  4. Smart Building Management: The model can be integrated into smart building technology to manage building occupancy, optimize energy usage based on pedestrian movement, and improve navigation or accessibility.

  5. User Experience Research: In product testing labs or usability research labs, the model can track participant behavior and movement, providing key insights into product interaction and usability.

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{
                            indoor-o5wzk_dataset,
                            title = { indoor Dataset },
                            type = { Open Source Dataset },
                            author = { lab },
                            howpublished = { \url{ https://universe.roboflow.com/lab-lpaya/indoor-o5wzk } },
                            url = { https://universe.roboflow.com/lab-lpaya/indoor-o5wzk },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { jun },
                            note = { visited on 2024-09-08 },
                            }