Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

176
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
176
Transmission-based Precautions II: Airborne and Protective Environment01:25

Transmission-based Precautions II: Airborne and Protective Environment

1.4K
Transmission-based precautions are for patients infected or suspected to be infected (or colonized) with organisms posing a significant risk to others. The transmission precautions include airborne and protective environment precautions.
Airborne precautions:
Use airborne precautions when treating patients known or suspected to have diseases that spread through the air—for example, tuberculosis or measles. These organisms are present in smaller droplets expelled by an infected person and...
1.4K
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

5.8K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
5.8K
Causality in Epidemiology01:21

Causality in Epidemiology

730
Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
730
Principles of Disease Surveillance01:26

Principles of Disease Surveillance

174
Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...
174
Classification of Illness01:17

Classification of Illness

7.9K
The meaning of illness is individualized to each person who experiences an alteration in health. In contrast, disease is a medical term indicating a pathological change in the structure and function of the body or mind. It is a condition that has specific symptoms and boundaries.
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe...
7.9K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same journal

RETRACTION: An Integrated Framework for COVID-19 Classification Based on Classical and Quantum Transfer Learning from a Chest Radiograph.

Concurrency and computation : practice & experience·2026
Same journal

Real-Time XFEL Data Analysis at SLAC and NERSC: a Trial Run of Nascent Exascale Experimental Data Analysis.

Concurrency and computation : practice & experience·2025
Same journal

BrainForge: an online data analysis platform for integrative neuroimaging acquisition, analysis, and sharing.

Concurrency and computation : practice & experience·2023
Same journal

Data-driven analysis and predictive modeling on COVID-19.

Concurrency and computation : practice & experience·2023
Same journal

A face mask detection system: An approach to fight with COVID-19 scenario.

Concurrency and computation : practice & experience·2023
Same journal

Poor and rich dolphin optimization algorithm with modified deep fuzzy clustering for COVID-19 patient analysis.

Concurrency and computation : practice & experience·2023

Related Experiment Video

Updated: Sep 2, 2025

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research
07:15

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research

Published on: December 18, 2020

4.6K

COVID-19: Machine learning for safe transportation.

Subbiah Sankari1, Subramaniam Sankaran Varshini1, Savvas Mohamed Aafia Shifana1

  • 1Department of Information Technology Sri Sai Ram Engineering College Chennai India.

Concurrency and Computation : Practice & Experience
|August 8, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a computer vision system to monitor vehicle passengers for COVID-19 safety compliance. The system detects face mask usage and social distancing, issuing alerts to enforce safety rules during travel.

Keywords:
COVID‐19YOLOv3computer visionface masksingle shot detectorsocial distancing

More Related Videos

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
08:20

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

1.6K
DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning
04:17

DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning

Published on: May 10, 2024

861

Related Experiment Videos

Last Updated: Sep 2, 2025

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research
07:15

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research

Published on: December 18, 2020

4.6K
Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
08:20

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

1.6K
DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning
04:17

DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning

Published on: May 10, 2024

861

Area of Science:

  • Computer Vision
  • Public Health
  • Transportation Safety

Background:

  • The COVID-19 pandemic necessitates strict adherence to public health measures like face mask usage and social distancing.
  • Maintaining these safety protocols during daily transportation is challenging but crucial for disease containment.

Purpose of the Study:

  • To develop an automated alert system for monitoring COVID-19 safety compliance within vehicles.
  • To ensure passengers adhere to face mask and social distancing guidelines during their journeys.

Main Methods:

  • Utilizing computer vision techniques to analyze video streams from vehicle cameras.
  • Employing the Single Shot Detector algorithm for precise face mask detection.
  • Implementing the YOLOv3 object detection algorithm to assess social distancing compliance.

Main Results:

  • The system successfully detects non-compliance with face mask policies and social distancing rules.
  • An integrated alarm system alerts passengers and authorities to violations in real-time.
  • The system operates unobtrusively, integrating into daily transportation norms.

Conclusions:

  • The proposed computer vision system offers an effective solution for enforcing COVID-19 safety measures in vehicles.
  • This technology aids in controlling disease spread and supports governmental public health initiatives.
  • Automated monitoring enhances compliance without disrupting passenger travel routines.