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Related Concept Videos

Body Temperature01:25

Body Temperature

935
The body's temperature, measured in degrees, is determined by the balance between heat production and dissipation to the surrounding environment. For instance, if exercising vigorously, the body will produce more heat, causing sweat and dissipating that heat. Despite extreme environmental conditions and physical exertion, the human temperature-control system maintains a constant core body temperature (the temperature of deep tissues, which are the tissues located beneath the skin and other...
935
Thermosensation01:43

Thermosensation

30.4K
Peripheral thermosensation is the perception of external temperature. A change in temperature (on the surface of the skin and other tissues) is detected by a family of temperature-sensitive ion channels called Transient Receptor Potential, or TRP, receptors. These receptors are located on free nerve endings. Those detecting cold temperatures are closer to the surface of the skin than the nerve endings detecting warmth. These thermoTRP channels, while temperature selective, have relatively...
30.4K
Equipments Used to Measure Body Temperature01:13

Equipments Used to Measure Body Temperature

986
Body temperature can be assessed using various devices and measured in Celsius or Fahrenheit.
Glass-bulb Thermometer:
Glass-bulb thermometers are hollow glass tubes with a bulb tip containing liquid such as ethanol or mercury. Historically, glass bulb mercury thermometers were the standard device to measure body temperature. Today, mercury thermometers are prohibited in many countries due to the hazardous effects of mercury and the risk of exposure if the glass bulb breaks. In general,...
986
Assessing Body Temperature - Oral01:14

Assessing Body Temperature - Oral

738
Here are the steps to accurately measure oral temperature using an electronic thermometer:
Step 1:
Start by practicing proper hand hygiene to prevent the spread of microorganisms.
Step 2:
Take the thermometer out of the charging unit, switch it on, and wait for the ready sign.
Step 3:
Gently slide the probe cover until a click is heard. This simple action prevents cross-contamination and ensures the correct placement of the probe cover.
Step 4:
Instruct the patient to open their mouth and place...
738
Assessing Body Temperature - Axilla01:14

Assessing Body Temperature - Axilla

580
Procedural Guide for Assessing Axillary Body Temperature using a Digital Thermometer:
Step 1: Perform hand hygiene and put on clean gloves to maintain infection control and prevent cross-contamination.
Step 2: Prepare the patient by explaining the procedure to ensure understanding and cooperation. Ensure privacy, expose the axilla, and inform the patient that minimal movement is crucial for an accurate reading.
Step 3: Adjust the patient’s clothing to expose only the axilla. It minimizes...
580

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Assessing Spatial Learning and Memory in Small Squamate Reptiles
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Lizard Body Temperature Acquisition and Lizard Recognition Using Artificial Intelligence.

Ana L Afonso1, Gil Lopes2, A Fernando Ribeiro3

  • 1Mechanical Engineering Department, University of Minho, 4800-058 Guimarães, Portugal.

Sensors (Basel, Switzerland)
|July 13, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces an automated system for measuring lizard body temperature using AI and dual cameras. The new method improves accuracy and reduces animal stress compared to manual techniques.

Keywords:
YOLOartificial intelligencebody temperature acquisitioncomputer visionlizardsobject detection

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Area of Science:

  • Animal Biology
  • Computer Vision
  • Thermal Imaging

Background:

  • Manual body temperature acquisition in lab animals lacks accuracy and can cause distress.
  • Semi-manual methods using thermal cameras are time-consuming and not fully automatic.

Purpose of the Study:

  • To automate the body temperature acquisition process for lizards in laboratory settings.
  • To develop a non-invasive and accurate method for monitoring animal physiology.

Main Methods:

  • Utilized a dual-camera system (RGB and thermal) for simultaneous data capture.
  • Developed an AI model (YOLOv5) for automatic detection and localization of lizard body parts.
  • Created a custom dataset of lizard images for training the AI model.
  • Implemented coordinate conversion for accurate temperature mapping from thermal to RGB images.

Main Results:

  • Achieved high precision (90.00%) and recall (98.80%) in detecting lizards and their body parts using YOLOv5.
  • Successfully automated the temperature acquisition process, overcoming challenges of low-contrast environments.
  • Enabled accurate temperature readings for specific body parts of the lizard.

Conclusions:

  • The developed automated system significantly enhances the accuracy and efficiency of animal body temperature measurement.
  • This AI-driven approach offers a less stressful and more reliable alternative to traditional methods for biological research.