Office_productivity Computer Vision Project
Updated 2 years ago
Here are a few use cases for this project:
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Workplace Efficiency Evaluation: Enterprises can use the "Office_productivity" model to analyze and optimize employee productivity. The system can identify whether workspaces are being used efficiently or are unoccupied (Not_working), hence making resource reallocation decisions easier.
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Smart Building Management: Commercial property managers can use the data to better manage building resources like lighting, heating, and air conditioning. If no activity (Not_working) is identified, these resources can be adjusted or turned off to save energy.
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Employee Wellness Monitoring: By identifying periods of intensive work (Working) versus idle time (Not_working), the model can be used to promote balanced work-rest cycles, reminding employees to take necessary breaks for their wellness and productivity.
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Meeting Room Scheduling: Organisations can optimize meeting room usage by tracking periods of rooms being occupied (Working) versus empty (Not_working). This insight can improve the reservation and scheduling system, freeing up space for necessary meetings.
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Remote Working Evaluation: The model can be used to track productivity in a remote working setting by identifying active work hours (Working) and inactive periods (Not_working). The data can be used to make adjustments for improved work-life balance and productivity.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
office_productivity_dataset,
title = { Office_productivity Dataset },
type = { Open Source Dataset },
author = { Shudarshan Kongkham },
howpublished = { \url{ https://universe.roboflow.com/shudarshan-kongkham/office_productivity } },
url = { https://universe.roboflow.com/shudarshan-kongkham/office_productivity },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { aug },
note = { visited on 2024-11-25 },
}