focus-tracker
A finetuned YOLOv5 model that keeps people off their phone using cool punishments
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
-
○Academic publication links
-
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (3.6%) to scientific vocabulary
Repository
A finetuned YOLOv5 model that keeps people off their phone using cool punishments
Basic Info
Statistics
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 5
- Releases: 0
Metadata Files
README.md
Welcome to the Focus Tracker by Ganesh and Aditya!
Our project detects the presence of a phone in a webcam frame. If this occurs, a series of punishments is triggered: an annoying audio file is played on max volume, this github page is opened up, and a text will be sent to your phone telling you to "GET OFF OF YOUR PHONE" via Twilio.
Our model has been trained with the YOLOv5 model from Ultralytics. Using a photo collection script, we generated our own data by rapidly taking photos via our laptop's webcam.
This project has been deployed to the web via Roboflow: https://universe.roboflow.com/aditya-kakarla-wfuyi/photo-detector-v3
Owner
- Login: adityakakarla
- Kind: user
- Repositories: 1
- Profile: https://github.com/adityakakarla
Citation (CITATION.cff)
cff-version: 1.2.0
preferred-citation:
type: software
message: If you use YOLOv5, please cite it as below.
authors:
- family-names: Jocher
given-names: Glenn
orcid: "https://orcid.org/0000-0001-5950-6979"
title: "YOLOv5 by Ultralytics"
version: 7.0
doi: 10.5281/zenodo.3908559
date-released: 2020-5-29
license: AGPL-3.0
url: "https://github.com/ultralytics/yolov5"