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

Thermal Insulation in Masonry Walls01:22

Thermal Insulation in Masonry Walls

492
In hot, dry climates, the thermal mass of masonry walls can be beneficial, absorbing heat during the day and releasing it at night, thereby stabilizing indoor temperatures. However, in most other climates, additional insulation is necessary to enhance thermal resistance.
External insulation can be applied using an Exterior Insulation and Finish System (EIFS), which involves affixing panels of plastic foam to the wall and covering them with a polymeric stucco reinforced with glass fiber mesh....
492

You might also read

Related Articles

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

Sort by
Same author

The Micro-Mobility Sensing Gap: A Systematic Review of Physiological Safety Monitoring from Cycling to E-Scooters.

Sensors (Basel, Switzerland)·2026
Same author

Improving Industrial Quality Control: A Transfer Learning Approach to Surface Defect Detection.

Sensors (Basel, Switzerland)·2025
Same author

Strategies to engineer articular cartilage with biomimetic zonal features: a review.

Biomaterials science·2024
Same author

Fabrication of Customizable and Reproducible 3D Chondrocyte-Laden Nanofibrous Architectures: Effect of Specific Fiber Alignments and Porosities on Chondrocyte Response under Cyclic Compression.

ACS applied bio materials·2023
Same author

Industrial Internet of Things over 5G: A Practical Implementation.

Sensors (Basel, Switzerland)·2023
Same author

Three-dimensional nanofibrous and porous scaffolds of poly(ε-caprolactone)-chitosan blends for musculoskeletal tissue engineering.

Journal of biomedical materials research. Part A·2022

Related Experiment Video

Updated: Jan 17, 2026

Quantitative Visualization and Detection of Skin Cancer Using Dynamic Thermal Imaging
06:08

Quantitative Visualization and Detection of Skin Cancer Using Dynamic Thermal Imaging

Published on: May 5, 2011

17.2K

Combining Infrared Thermography with Computer Vision Towards Automatic Detection and Localization of Air Leaks.

Ângela Semitela1,2, João Silva1,2, André F Girão1,2

  • 1Centre of Mechanical Technology and Automation (TEMA), Department of Mechanical Engineering, University of Aveiro, 3810-193 Aveiro, Portugal.

Sensors (Basel, Switzerland)
|September 19, 2025
PubMed
Summary

This study introduces an automated system using infrared thermography and computer vision for detecting air leaks in manufacturing. The integrated approach accurately pinpoints leaks, offering a cost-effective alternative to manual inspections.

Keywords:
air leaksalgorithmcomputer visiondistanceinfrared thermographyleak aperturelocalization

More Related Videos

Infrared Thermography for the Detection of Changes in Brown Adipose Tissue Activity
08:16

Infrared Thermography for the Detection of Changes in Brown Adipose Tissue Activity

Published on: September 28, 2022

2.8K
Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography
11:34

Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography

Published on: May 15, 2017

11.5K

Related Experiment Videos

Last Updated: Jan 17, 2026

Quantitative Visualization and Detection of Skin Cancer Using Dynamic Thermal Imaging
06:08

Quantitative Visualization and Detection of Skin Cancer Using Dynamic Thermal Imaging

Published on: May 5, 2011

17.2K
Infrared Thermography for the Detection of Changes in Brown Adipose Tissue Activity
08:16

Infrared Thermography for the Detection of Changes in Brown Adipose Tissue Activity

Published on: September 28, 2022

2.8K
Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography
11:34

Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography

Published on: May 15, 2017

11.5K

Area of Science:

  • Engineering
  • Manufacturing Technology
  • Non-Destructive Testing

Background:

  • End-of-line (EOL) testing stations require efficient methods for air leak detection.
  • Manual inspections are time-consuming and may lack precision.
  • Integrating advanced imaging and computational techniques can enhance leak detection capabilities.

Purpose of the Study:

  • To develop and validate an automated system for air leak detection and localization in EOL testing.
  • To assess the performance of infrared thermography (IRT) and computer vision in identifying air leaks.
  • To provide a cost-effective and accurate alternative to manual leak inspection in manufacturing.

Main Methods:

  • An automated system combining a leak tester, infrared camera, and a Python-based localization algorithm was developed.
  • The algorithm processed thermal frames, identified regions of interest, mitigated environmental interference, and used pixel intensity thresholding for leak pinpointing.
  • Simulations involved varying leak apertures (0.25-3 mm) and camera-leak distances (0.2-1 m) in a controlled circuit.

Main Results:

  • The leak tester accurately detected and quantified leaks, correlating larger apertures with higher leak rates.
  • IRT performance was sensitive to leak aperture and distance; shorter distances improved localization accuracy.
  • The algorithm successfully localized all simulated leaks in both lab and industrial settings, achieving accuracies over 0.7.

Conclusions:

  • The integrated IRT and computer vision system is a promising solution for automated air leak detection in EOL testing.
  • The developed algorithm demonstrates high accuracy and robustness across different conditions.
  • This automated approach offers significant potential for improving efficiency and cost-effectiveness in manufacturing quality control.