2022091820 Computer Vision Project

2p1

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Description

Here are a few use cases for this project:

  1. Surveillance Systems: The "2022091820" computer vision model could be utilized in CCTV or security systems to identify and track individuals in both public and private settings. The model’s ability to distinguish person classes can help in improving the security measures.

  2. Smart Home Automation: This model can be used to enhance smart home systems by identifying residents and adjusting settings accordingly, such as adjusting lighting or temperature based on the person identified.

  3. Social Distance Monitoring: In areas where social distancing must be maintained due to public health concerns, such as COVID-19, this model can help identify if individuals are present and assess whether they are maintaining the requisite distance.

  4. Customer Behavior Analysis in Retail Environments: Retailers can use this model to track customers’ movement patterns, identities, and behavior in stores, which helps in optimizing store layout, improving product placements, and understanding customer preferences.

  5. Assisting in Search and Rescue Operations: In times of catastrophes, this model can be used to identify people in difficult lighting or visibility conditions, including green and black images, aiding the rescue missions significantly.

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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{
                            2022091820_dataset,
                            title = { 2022091820 Dataset },
                            type = { Open Source Dataset },
                            author = { 2p1 },
                            howpublished = { \url{ https://universe.roboflow.com/2p1-dpijh/2022091820 } },
                            url = { https://universe.roboflow.com/2p1-dpijh/2022091820 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { nov },
                            note = { visited on 2024-12-27 },
                            }
                        
                    

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