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

Cleaning, Sterilization, and Disinfection01:30

Cleaning, Sterilization, and Disinfection

7.3K
Cleaning, disinfection, and sterilization are the methods that help to break the infection chain and prevent disease.
Cleaning
The cleaning process usually involves using water with detergents or enzymatic cleaner and removing foreign material from objects and surfaces, including organic material such as body fluids or inorganic material like soil. Cleaning is performed before high-level disinfection and sterilization because foreign materials on the cover of the devices interfere with process...
7.3K
Handwashing I: Introduction and Types of Equipment01:18

Handwashing I: Introduction and Types of Equipment

4.3K
Handwashing is hand hygiene with plain or antimicrobial soap and water to physically remove dirt, organic material, and microorganisms. However, it may not kill all microorganisms. The handwashing procedure requires a hand wash basin, liquid soap, paper towels, a domestic waste bin, and disposable nail cleaner as optional equipment.
Hand wash basins in clinical areas should have faucets that can be turned on and off without using the hands; that is, they should be non-touch or lever-operated....
4.3K
Detergent Purification of Membrane Proteins01:18

Detergent Purification of Membrane Proteins

5.3K
Detergents are used to purify the integral proteins of the membrane. The hydrophobic portion of the detergent can replace membrane phospholipids while solubilizing the membrane proteins. When detergent monomers reach a specific concentration in a solution called critical micelle concentration (CMC), they form micelles. Above CMC, the concentration of the detergent monomers remains in equilibrium with the micelle. The number of detergent monomers present in the CMC varies for each detergent, and...
5.3K
Deleterious Substances in Aggregate01:25

Deleterious Substances in Aggregate

243
Deleterious substances in aggregates can be detrimental to the quality and durability of concrete. These substances include organic impurities like loam, which interfere with cement hydration and are usually present in the sand. These prevent a good bond between aggregate and cement paste. Organic impurities can be detected using the colorimetric test, where the darkness of a solution after agitation indicates the level of organic content.
Another type of impurity is clay and fine material that...
243
Handwashing II: Pre-procedure and Initial Procedure Steps01:19

Handwashing II: Pre-procedure and Initial Procedure Steps

1.0K
The pre-procedure steps of handwashing include removing jewelry and rolling up sleeves. However, many organizations allow staff to wear wedding rings.
The hand washing procedure itself includes the following steps. First, cover cuts, if any, on hands with a waterproof dressing. Cuts and abrasions can become contaminated with bacteria hindering the ability to clean the area thoroughly. In addition, repeated hand washing can worsen an injury.  The nails must be short and clean, without nail...
1.0K

You might also read

Related Articles

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

Sort by
Same author

Deep-Learning-Based Context-Aware Multi-Level Information Fusion Systems for Indoor Mobile Robots Safe Navigation.

Sensors (Basel, Switzerland)·2023
Same author

Patient-Specific Finite Element Modeling of the Whole Lumbar Spine Using Clinical Routine Multi-Detector Computed Tomography (MDCT) Data-A Pilot Study.

Biomedicines·2022
Same author

Object-of-Interest Perception in a Reconfigurable Rolling-Crawling Robot.

Sensors (Basel, Switzerland)·2022
Same author

A Novel Path Planning Strategy for a Cleaning Audit Robot Using Geometrical Features and Swarm Algorithms.

Sensors (Basel, Switzerland)·2022
Same author

AI-Enabled Mosquito Surveillance and Population Mapping Using Dragonfly Robot.

Sensors (Basel, Switzerland)·2022
Same author

AI-Enabled Predictive Maintenance Framework for Autonomous Mobile Cleaning Robots.

Sensors (Basel, Switzerland)·2022

Related Experiment Video

Updated: Sep 3, 2025

Selective Cleaning of Wild Caenorhabditis Nematodes to Enrich for Intestinal Microbiome Bacteria
09:47

Selective Cleaning of Wild Caenorhabditis Nematodes to Enrich for Intestinal Microbiome Bacteria

Published on: August 13, 2021

3.1K

Toward a Comprehensive Domestic Dirt Dataset Curation for Cleaning Auditing Applications.

Thejus Pathmakumar1, Mohan Rajesh Elara1, Shreenhithy V Soundararajan1

  • 1Engineering Product Development, Singapore University of Technology and Design, Singapore 487372, Singapore.

Sensors (Basel, Switzerland)
|July 27, 2022
PubMed
Summary

This study introduces a new domestic dirt image dataset for AI-based cleaning audits. The dataset enhances dirt analysis and robot-assisted cleaning inspection, achieving high accuracy.

Keywords:
audit robotcleaning benchmarkdirt classificationdirt datasetdomestic dirtrobot-aided cleaning auditing

More Related Videos

Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs
07:13

Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs

Published on: April 9, 2021

4.3K
Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India
09:33

Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India

Published on: December 23, 2022

2.3K

Related Experiment Videos

Last Updated: Sep 3, 2025

Selective Cleaning of Wild Caenorhabditis Nematodes to Enrich for Intestinal Microbiome Bacteria
09:47

Selective Cleaning of Wild Caenorhabditis Nematodes to Enrich for Intestinal Microbiome Bacteria

Published on: August 13, 2021

3.1K
Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs
07:13

Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs

Published on: April 9, 2021

4.3K
Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India
09:33

Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India

Published on: December 23, 2022

2.3K

Area of Science:

  • Robotics
  • Computer Vision
  • Material Science

Background:

  • Manual cleaning auditing methods are often overlooked and inefficient.
  • Advancements in cleaning technologies necessitate automated auditing solutions.
  • Existing datasets lack comprehensive dirt analysis for AI applications.

Purpose of the Study:

  • To introduce a novel domestic dirt image dataset for AI-based cleaning auditing.
  • To address the gap in comprehensive dirt analysis datasets for robotic cleaning inspection.
  • To facilitate advancements in automated dirt sensing and composition estimation.

Main Methods:

  • Curated a labeled dataset of 3000 microscope images of nine common domestic dirt classes.
  • Utilized an adhesive dirt lifting method for image acquisition in a semi-indoor environment.
  • Evaluated dataset quality using AI-based dirt analysis and six standard classification models for robot-aided auditing.

Main Results:

  • The novel dataset supports AI-based dirt analysis and robot-assisted cleaning inspection.
  • Classification models trained on the dataset achieved over 90% accuracy in offline analysis.
  • Real-time robot-aided cleaning auditing tests demonstrated 82% classification accuracy.

Conclusions:

  • The developed domestic dirt image dataset is effective for AI-driven cleaning auditing.
  • This resource significantly enhances dirt sensing and composition estimation capabilities.
  • The dataset paves the way for more efficient and accurate automated cleaning inspection systems.