Vacuum Challenge Computer Vision Project
Updated 6 months ago
Metrics
How good are you at Vacuuming? Let's find out.
This software tracks and visualizes the movement of a vacuum in a given area using an overhead camera feed. It provides a path, heatmap, and coverage map of the vacuum's activity.
This project is like giving your vacuum cleaner its very own GPS. Using the power of computer vision (shout out to cv2 and Roboflow!), we track our small roving friend, mapping out its path, the areas it's covered, and even where it hasn’t! Think of it as those car GPS screens you see in movies, but for your vacuum.
Just place a camera overhead (the bird's-eye view is the best view!), let your vacuum go on its cleaning spree, and this program will do the rest. We create a heatmap showing where our little bot hung out the most (was it near the fridge? 🤔), plot the path it took, and even provide a coverage map! So next time, you'll know if it's just chilling in a corner when it's supposed to be working!
Oh, and for the fun part? You get to draw on your first video frame! It's kinda like setting the boundaries for your vacuum. Tell it where you'd like it to go and where it's a no-no. Perhaps keep it away from your cat's favorite spot?
So, buckle up, and let's go on a visual adventure with your vacuum cleaner. Dive into the code, and let's roll (or... glide?). And remember, it's all in good fun! Enjoy!
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{
vacuum-challenge_dataset,
title = { Vacuum Challenge Dataset },
type = { Open Source Dataset },
author = { Roboflow },
howpublished = { \url{ https://universe.roboflow.com/roboflow-hg2vx/vacuum-challenge } },
url = { https://universe.roboflow.com/roboflow-hg2vx/vacuum-challenge },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { jun },
note = { visited on 2024-12-22 },
}