ML_Project_4 Computer Vision Project
Updated 2 years ago
Metrics
Here are a few use cases for this project:
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Construction Material Inventory Management: The model can be deployed on-site to monitor and manage the inventory of key construction materials such as rebars and bricks, minimizing both waste and downtime.
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Automated Quality Control: Insights from the ML_Project_4 model can be used to assess the quality of materials - if the identified rebar or bricks appear irregular, damaged or unsuitable for use, alerts can be raised for human inspection.
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Active Worksite Safety: By identifying rebar and bricks, the model can alarm workers or automated systems about hazardous material placements that could lead to accidents, such as unstable stacks of bricks or improperly stored or secured rebar.
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Supply Chain Verification: By identifying and quantifying materials, this model can be used for verifying shipments and deliveries of rebar and bricks automatically. The system could check the content of a delivery against a packing list or purchase order to ensure that the correct materials have arrived.
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Remote Construction Progress Monitoring: With photographs taken from a construction site, this model can be used to remotely calculate and report the usage or installation progress of these specific materials - bricks and rebar - in construction projects, providing real-time insights to project managers, investors or other stakeholders.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
ml_project_4_dataset,
title = { ML_Project_4 Dataset },
type = { Open Source Dataset },
author = { iitm },
howpublished = { \url{ https://universe.roboflow.com/iitm-hpmod/ml_project_4 } },
url = { https://universe.roboflow.com/iitm-hpmod/ml_project_4 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { oct },
note = { visited on 2024-11-05 },
}