Soap Computer Vision Project

Daniella Camargo

Updated 4 months ago

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Description

Here are a few use cases for this project:

  1. Retail Industry Insight: Retailers can use this model to analyze shelf inventory in real time. This will enable them to understand product demand better, streamline re-stocking processes, and gain insight into consumer preferences based on the types of soap they generally buy.

  2. Resource Management in Public Places: Facilities like bathrooms in airports, shopping malls, or universities can use this model to monitor soap usage and predict when soap dispensers need to be refilled, improving efficiency and user experience.

  3. Self-checkout and Automated Billing: The model can be integrated into self-checkout systems at grocery stores, supermarkets, or pharmacies to auto-identify and bill soap products, reducing the need for manual barcode scanning.

  4. Recycling Plant Usage: It can be used in recycling facilities to segregate soap boxes from other types of waste, thus improving sorting efficiency.

  5. Consumer Behavior Studies: Market researchers can use this model to conduct shops or households surveys, tracking what kind of soap products are being used, and gain insights into market trends and consumer behaviors.

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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{
                            soap-waled_dataset,
                            title = { Soap Dataset },
                            type = { Open Source Dataset },
                            author = { Daniella Camargo },
                            howpublished = { \url{ https://universe.roboflow.com/daniella-camargo/soap-waled } },
                            url = { https://universe.roboflow.com/daniella-camargo/soap-waled },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { jul },
                            note = { visited on 2024-11-18 },
                            }
                        
                    

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