WizoBot - Elwaly Computer Vision Project

wizo

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Fall Detected
NoFall Detected

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Description

Here are a few use cases for this project:

  1. Elderly Care Monitoring: In nursing homes, hospitals, or home environments, the "wizo" model could be deployed to monitor elderly people at risk of falls. When a fall is detected, an immediate alert can be sent to the caregivers, allowing them to provide prompt assistance and potentially reducing the risk of further injury.

  2. Workplace Safety: Industries such as construction sites and manufacturing plants could utilize "wizo" to detect falls in real-time. This can help ensure workplace safety by providing instant alerts to supervisors or safety staff, allowing for immediate response and facilitating accident investigations.

  3. Smart Home Security: The "wizo" model could be integrated into smart home security systems to detect falls among the occupants. In cases such as disabled individuals, children, or even pets that could be prone to falls, this feature can act as an additional layer of safety protection within a home.

  4. Sports and Athletic Performance Analysis: Coaches and trainers can use the "wizo" model to analyze athletes' movements during practice or games, identifying instances where a fall occurs. This can help the coach provide better training and feedback to avoid future falls or injuries, ultimately improving athletic performance.

  5. Public Space Monitoring: Authorities can leverage the "wizo" model to detect falls in crowded areas like shopping malls, airports, or train stations. By quickly identifying and responding to an individual in distress, it can help provide much-needed assistance, ensuring public safety and potentially preventing escalation of incidents.

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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{
                            wizobot-elwaly_dataset,
                            title = { WizoBot - Elwaly Dataset },
                            type = { Open Source Dataset },
                            author = { wizo },
                            howpublished = { \url{ https://universe.roboflow.com/wizo/wizobot-elwaly } },
                            url = { https://universe.roboflow.com/wizo/wizobot-elwaly },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { jan },
                            note = { visited on 2025-02-16 },
                            }
                        
                    

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