PSI Rossville Pano Computer Vision Project
Updated 2 years ago
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Here are a few use cases for this project:
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Port Logistics Optimization: The PSI Rossville Pano model can be used to monitor and analyze the activities in a shipping port, such as loading and unloading of containers, personnel movement, and the status of equipment like stackers and OTR chassis. This information can help streamline operations, reduce turnaround time, and improve efficiency in port management.
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Container Tracking and Inventory Management: The model can be implemented to track the real-time location and status of shipping containers within a port, as well as monitoring the movement of containers being loaded or unloaded onto OTR chassis. This can improve inventory management and visibility, helping port operators make better and more informed decisions.
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Automated Surveillance and Security: The PSI Rossville Pano model can be used to detect and track the movement of people and vehicles within a shipping port, potentially serving as a security system by identifying unauthorized activities or individuals and sending alerts to appropriate security personnel.
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Safety Compliance Monitoring: By detecting the status of OTR chassis (loaded, unloaded, working) and recognizing the presence of people and equipment like stackers, the model can help ensure that safety protocols are being followed within the port. This can help prevent accidents, reduce safety-related incidents, and improve overall safety performance.
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Equipment and Workforce Utilization Analysis: Using the PSI Rossville Pano model, port operators can gain insights into how effectively equipment (OTR chassis, stackers) and personnel are being utilized at any given time. This can help identify bottlenecks, optimize resource allocation, and increase overall productivity within the port.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
psi-rossville-pano_dataset,
title = { PSI Rossville Pano Dataset },
type = { Open Source Dataset },
author = { PSI },
howpublished = { \url{ https://universe.roboflow.com/psi-dhxqe/psi-rossville-pano } },
url = { https://universe.roboflow.com/psi-dhxqe/psi-rossville-pano },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { jul },
note = { visited on 2024-11-18 },
}