person detect Computer Vision Project

Public workspace

Updated 2 years ago

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Description

Here are a few use cases for this project:

  1. Surveillance and Security Systems: In fields like surveillance and security, the "person detect" model can be used to identify human trespassers and differentiate them from robots or other machinery in restricted zones.

  2. Robotics and Automation Industry: In automation sectors, this model can be used to detect human operators and ensure safety protocols by preventing accidents with heavy machinery and robots.

  3. Human-Robot Interaction Studies: Studies on human-robot interaction can utilize this model to identify and categorize instances of interactions, contributing to the development of safer and more productive collaborative units.

  4. Health and Safety Compliance: In industries like manufacturing or construction, the model can be used to make sure that people are wearing appropriate safety equipment in the presence of robots and machinery.

  5. Smart Home Development: Intelligent outdoor and indoor systems can use the model to distinguish members of the household from non-members, and also differentiate humanoid robots for personalized user experiences.

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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{
                            person-detect_dataset,
                            title = { person detect Dataset },
                            type = { Open Source Dataset },
                            author = { Public workspace },
                            howpublished = { \url{ https://universe.roboflow.com/public-workspace-z17xv/person-detect } },
                            url = { https://universe.roboflow.com/public-workspace-z17xv/person-detect },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { jun },
                            note = { visited on 2024-11-02 },
                            }
                        
                    

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