TRACO Computer Vision Project
Updated a year ago
Metrics
Here are a few use cases for this project:
-
Pest Control Industry: Businesses specializing in pest control can use the TRACO model to automate detection of bedbugs or hexbugs during on-site inspections. They can integrate the solution into a smartphone app to evaluate real-time data and improve service efficiency.
-
Hospitality Industry: Hotels and lodgings can regularly use the model to conduct routine checks to ensure their rooms are free of bedbugs and hexbugs. This can enhance the quality of stay and increase customer satisfaction.
-
Home Cleaning Services: Home cleaning businesses can integrate this technology into their services to identify any bedbug or hexbug presence during their processes, providing valuable additional support to their clients beyond normal cleaning.
-
Furniture Retail: Secondhand furniture stores or flea markets can use the model to identify bedbug or hexbug infestations in their products, ensuring they only sell items free from these pests.
-
Travel and Airlines: Airplanes, trains, buses or other shared transport services can use TRACO to detect any bedbug or hexbug infestations in seats or accommodation compartments, ensuring a healthy travel environment for their customers.
Use This Trained Model
Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.
Build Computer Vision Applications Faster with Supervision
Visualize and process your model results with our reusable computer vision tools.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
traco_dataset,
title = { TRACO Dataset },
type = { Open Source Dataset },
author = { FAU },
howpublished = { \url{ https://universe.roboflow.com/fau-qafix/traco } },
url = { https://universe.roboflow.com/fau-qafix/traco },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { aug },
note = { visited on 2025-02-16 },
}