Trolley_Detection Computer Vision Project
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Here are a few use cases for this project:
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Retail Intelligence: The "Trolley_Detection" model could be deployed in stores and supermarkets to analyze customer behaviors, like how often a trolley or wagon is used, how long it stays in specific aisles, or when it's abandoned.
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Inventory Management: It can help in monitoring the availability and usage of trolleys in various sections of a store, aiding planning, and distribution efforts.
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Shopping Experience Improvement: Stores could analyze the data to improve layout and flow to prevent congestion and improve customer experience, perhaps by providing more trolleys in high-demand areas.
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Security and Lost Trolley Recovery: Malls or supermarkets can use it to track abandoned trolleys to ensure they are not used inappropriately or left in areas where they can cause inconvenience or potential security risks.
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Accessibility Assistance in Smart Cities: With the help of this model, smart cities could detect and track available trolleys or wagons in public areas, providing real-time information for those requiring mobility assistance.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
trolley_detection-hmifm_dataset,
title = { Trolley_Detection Dataset },
type = { Open Source Dataset },
author = { cv },
howpublished = { \url{ https://universe.roboflow.com/cv-cdhqp/trolley_detection-hmifm } },
url = { https://universe.roboflow.com/cv-cdhqp/trolley_detection-hmifm },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { dec },
note = { visited on 2025-01-03 },
}