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

Personal Protective Equipment01:20

Personal Protective Equipment

1.9K
Personal protective equipment (PPE) is unique clothing or equipment worn by an employee to minimize or prevent exposure to infectious agents. PPE creates a barrier between the employee and the infectious materials. PPE must be readily available in the patient care area. PPE includes gloves, gowns and aprons, masks and respirators, goggles, face shields, shoes, and headcovers:
1.9K
PPE Use in Healthcare Settings II: Doffing01:10

PPE Use in Healthcare Settings II: Doffing

1.2K
The sequence of removing or doffing PPE starts with the gloves, as they are the most contaminated. Next is removal of the face shield or goggles, as they would interfere with removing other PPE. Then remove the gown, followed by the mask or respirator. Perform hand hygiene between steps if hands become contaminated and immediately after removing all PPE. Generally, the outside front and sleeves of the isolation gown, the goggles or the mask, the respirator, and the face shield are contaminated.
1.2K
Transmission-based Precautions II: Airborne and Protective Environment01:25

Transmission-based Precautions II: Airborne and Protective Environment

1.6K
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...
1.6K
PPE Use in Healthcare Settings I: Donning01:22

PPE Use in Healthcare Settings I: Donning

1.3K
Donning PPE must be completed before contact with the patient. This process protects from infectious agents. The sequence and action included in each donning are critical, and the steps must be systematic to avoid exposure to pathogens. The institutional policy also needs to be followed while donning PPE. The pre-donning preparations are gathering equipment, inspecting the PPE equipment for tears, holes, or damage, removing jewelry, removing any garments below the elbows, and tying the hair...
1.3K
Transmission-based Precautions I: Contact, Enteric, and Droplets01:17

Transmission-based Precautions I: Contact, Enteric, and Droplets

4.2K
Transmission-based precautions are for patients known to be infected or suspected to be infected or colonized with organisms that pose a significant risk to others. Some transmission-based precautions include contact, enteric, and droplet.
Contact Precautions:
Contact precautions are the measures taken to prevent the transmission of infectious agents, especially epidemiologically important microorganisms such as MRSA or influenza, primarily transmitted through direct or indirect contact with an...
4.2K
Standard Precaution01:26

Standard Precaution

2.3K
Standard precautions are the minimum infection control safeguards used while caring for all patients, irrespective of their disease condition. They help prevent the spread of common infectious microorganisms to healthcare workers, patients, and visitors in all healthcare settings.
Hand hygiene is the most crucial means to prevent the transmission of disease. Employers are legally required to provide their workers with personal protective equipment (PPE) to minimize exposure or contact with...
2.3K

You might also read

Related Articles

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

Sort by
Same author

An Adaptive TTT Handover (ATH) Mechanism for Dual Connectivity (5G mmWave-LTE Advanced) during Unpredictable Wireless Channel Behavior.

Sensors (Basel, Switzerland)·2023
Same author

Peer-to-Peer User Identity Verification Time Optimization in IoT Blockchain Network.

Sensors (Basel, Switzerland)·2023
Same author

3D Global Path Planning Optimization for Cellular-Connected UAVs under Link Reliability Constraint.

Sensors (Basel, Switzerland)·2022
Same author

Robust Handover Optimization Technique with Fuzzy Logic Controller for Beyond 5G Mobile Networks.

Sensors (Basel, Switzerland)·2022
Same author

Reliable Aerial Mobile Communications with RSRP & RSRQ Prediction Models for the Internet of Drones: A Machine Learning Approach.

Sensors (Basel, Switzerland)·2022
Same author

Revolution or Evolution? Technical Requirements and Considerations towards 6G Mobile Communications.

Sensors (Basel, Switzerland)·2022

Related Experiment Video

Updated: Oct 7, 2025

Nasal Brushing Sampling and Processing Using Digital High Speed Ciliary Videomicroscopy – Adaptation for the COVID-19 Pandemic
09:03

Nasal Brushing Sampling and Processing Using Digital High Speed Ciliary Videomicroscopy – Adaptation for the COVID-19 Pandemic

Published on: November 7, 2020

5.0K

Physical Distancing Device with Edge Computing for COVID-19 (PADDIE-C19).

Chun Hoe Loke1, Mohammed Sani Adam1, Rosdiadee Nordin1

  • 1Department of Electrical, Electronics and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia.

Sensors (Basel, Switzerland)
|January 11, 2022
PubMed
Summary
This summary is machine-generated.

A new device, PADDIE-C19, uses edge computing for real-time physical distancing monitoring and temperature screening to help prevent COVID-19 spread in crowded areas. This system alerts individuals violating the 1-meter rule, enhancing public health compliance.

Keywords:
COVID-19computer visionedge computingphysical distancingthermometer

More Related Videos

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program
04:24

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

Published on: April 19, 2019

11.9K
Cell-Free Dot Blot as a Practical and Adaptable Immunoassay Platform for the Detection of Antibody Response in Human and Animal Sera
08:21

Cell-Free Dot Blot as a Practical and Adaptable Immunoassay Platform for the Detection of Antibody Response in Human and Animal Sera

Published on: May 23, 2025

531

Related Experiment Videos

Last Updated: Oct 7, 2025

Nasal Brushing Sampling and Processing Using Digital High Speed Ciliary Videomicroscopy – Adaptation for the COVID-19 Pandemic
09:03

Nasal Brushing Sampling and Processing Using Digital High Speed Ciliary Videomicroscopy – Adaptation for the COVID-19 Pandemic

Published on: November 7, 2020

5.0K
A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program
04:24

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

Published on: April 19, 2019

11.9K
Cell-Free Dot Blot as a Practical and Adaptable Immunoassay Platform for the Detection of Antibody Response in Human and Animal Sera
08:21

Cell-Free Dot Blot as a Practical and Adaptable Immunoassay Platform for the Detection of Antibody Response in Human and Animal Sera

Published on: May 23, 2025

531

Area of Science:

  • Computer Science
  • Public Health
  • Artificial Intelligence

Background:

  • COVID-19 transmission is exacerbated in densely populated areas due to non-compliance with physical distancing and mask-wearing protocols.
  • Effective monitoring of public spaces is crucial for enforcing standard operating procedures (SOPs) and mitigating disease spread.
  • Existing solutions may lack real-time capabilities or rely on resource-intensive cloud computing for analysis.

Purpose of the Study:

  • To introduce a prototype system, PADDIE-C19 (Physical Distancing Device with Edge Computing for COVID-19), for automated physical distancing monitoring.
  • To implement real-time alerts and notifications for individuals violating the 1-meter physical distancing guideline.
  • To integrate temperature screening and crowd density restriction functionalities into a single, low-cost edge computing device.

Main Methods:

  • Development of PADDIE-C19 utilizing a low-cost edge computing device with a Neural Network Processor (KPU) for accelerated AI model execution.
  • Integration of an MLX90614 thermometer for non-contact temperature screening and ultrasonic sensors for crowd counting.
  • Deployment of a person detection model on the Grove AI Hardware Attached on Top (AI HAT) for real-time analysis at the edge.

Main Results:

  • The PADDIE-C19 system achieved up to 18 frames per second (FPS) for person detection using the Grove AI HAT.
  • Person detection accuracy with the Grove AI HAT reached 74.65%, with an average absolute error of 8.95 cm in physical distance measurement.
  • The MLX90614 thermometer demonstrated high accuracy, with a temperature difference of less than 0.5 °C compared to a Fluke 59 thermometer.

Conclusions:

  • Edge computing, exemplified by the Grove AI HAT, offers efficient real-time performance for AI-driven public health monitoring systems like PADDIE-C19.
  • PADDIE-C19 effectively monitors physical distancing and integrates temperature screening, providing a viable solution for enhancing safety in public spaces.
  • The system demonstrates the potential of low-cost edge AI devices to support public health initiatives by enabling rapid, localized data processing and response.