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Related Concept Videos

Infrared (IR) Spectroscopy: Overview01:09

Infrared (IR) Spectroscopy: Overview

When electromagnetic radiation passes through a material, atoms or molecules transition from a lower to a higher energy state by absorbing radiation corresponding to the energy difference between the two states. The absorption of infrared (IR) radiation causes transitions between vibrational energy levels in a molecule. Therefore, IR spectroscopy is a useful analytical tool for determining the molecular structure of molecules.
Different compounds display unique properties due to their...
IR Spectrometers01:25

IR Spectrometers

There are two main infrared (IR) spectrophotometers: dispersive IR spectrometers and Fourier transform infrared (FTIR) spectrometers. In a dispersive IR spectrometer, a beam of infrared radiation produced by a hot wire is divided into two parallel equal-intensity beams using mirrors. One beam passes through the sample, while another is a reference beam. The beams then move through the monochromator, which separates the radiations into a continuous spectrum of different frequencies. The...
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Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview

Attenuated total reflectance (ATR) infrared spectroscopy is a powerful analytical technique used to study the composition of materials. It is widely employed in chemistry, materials science, forensic science, and other fields where sample characterization is required. ATR has several advantages over traditional transmission IR spectroscopy, including the requirement of little to no sample preparation and the ability to analyze a wide range of samples.
The ATR process begins by directing a beam...
Applications of IR Spectroscopy: Overview01:11

Applications of IR Spectroscopy: Overview

The non-destructive nature and ability to provide valuable chemical information make IR spectroscopy a versatile technique with broad applications in various scientific and industrial fields. IR spectroscopy is commonly used to identify and characterize organic and inorganic compounds. It provides information about the functional groups present in a molecule and the bonding between atoms. This helps in the structural elucidation of compounds during organic synthesis, pharmaceutical research,...

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In Situ Surface Temperature Measurement in a Conveyor Belt Furnace via Inline Infrared Thermography
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Infrared Imaging for Autonomous Power Inspection: A Review from Detector to System Integration.

Yingye Guo1,2, Yuxi Du1, Run Mao2

  • 1College of Overseas Education, Chengdu University, Chengdu 610106, China.

Sensors (Basel, Switzerland)
|June 12, 2026
PubMed
Summary
This summary is machine-generated.

Automated infrared imaging is revolutionizing power infrastructure inspection for smart grids. This review details advancements in infrared detectors, processing, optics, and applications, highlighting challenges and future directions for autonomous monitoring.

Keywords:
automatic inspectioninfrared detectorsinfrared imaginginternet of things (IoT)power systemsroboticssignal processingunmanned aerial vehicles (UAVs)

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Area of Science:

  • Electrical Engineering
  • Materials Science
  • Computer Vision

Background:

  • Smart grids and Industry 4.0 necessitate automated monitoring, replacing manual inspections.
  • Infrared imaging offers non-contact, visual, and predictive capabilities for critical power infrastructure.
  • Traditional inspection methods are insufficient for the demands of modern, complex power systems.

Purpose of the Study:

  • To review recent advancements in infrared imaging for automated power system inspection.
  • To analyze the evolution of infrared detectors and their performance trade-offs.
  • To explore signal processing, optical configurations, and applications in power infrastructure.

Main Methods:

  • Overview of infrared detector evolution (photon detectors to microbolometers, low-dimensional materials).
  • Analysis of signal processing algorithms (non-uniformity correction, noise suppression) on FPGA platforms.
  • Discussion of advanced optical configurations (computational imaging, lensless designs).

Main Results:

  • Infrared imaging systems show significant progress in sensitivity, operating temperature, and cost.
  • Advanced signal processing and optics enhance image fidelity and reliability in field applications.
  • Applications like drone-based inspections and substation robots demonstrate operational efficacy and economic benefits.

Conclusions:

  • Challenges remain in detector development (performance-stability-cost), computational demands, and standardization.
  • Future research should focus on high-performance uncooled arrays and AI-driven co-design.
  • Development of standardized, low-cost, intelligent inspection platforms is crucial for widespread adoption.