Infrared thermal imaging technology visualizes the surface temperature distribution of objects via infrared cameras. It captures infrared radiation emitted from object surfaces, converts such radiation into electrical signals, and generates thermal images accordingly. These images reflect temperature variations across object surfaces. Different from visible-light imaging, thermal imaging delivers clear visual data in total darkness or extreme lighting conditions.

Infrared thermal imaging has been widely adopted across numerous industries, including but not limited to industrial inspection, power monitoring, medical diagnosis, fire rescue, building diagnostics and security surveillance. For instance, industrial inspection uses thermal imaging to identify overheating points on equipment for fault prevention. In the medical sector, infrared thermography analyzes temperature variations on human skin to assist clinical diagnosis.

Driven by continuous advancements in infrared sensor technology, future infrared thermal imaging devices will feature lighter weight, higher efficiency, superior temperature resolution and faster imaging speed. Combined with artificial intelligence and machine learning algorithms, thermal imaging will support in-depth data analysis and predictive judgment, enabling more innovative application scenarios.

Infrared radiation, also known as infrared light, falls within the electromagnetic spectrum with wavelengths ranging from approximately 700 nanometers to 1 millimeter. Similar to visible light, infrared radiation propagates without a transmission medium and can travel through vacuum. Since infrared rays are invisible to the human eye, dedicated equipment is required to detect and convert them into usable signals.

The core component of an infrared sensor is the infrared detector, which operates based on the photoelectric effect or thermal effect. When infrared radiation strikes the detector, electrons inside the detector material absorb energy and generate photocurrent (for photoelectric detectors) or temperature changes (for thermal detectors). Subsequent amplification and processing by electronic circuits convert these responses into output electrical signals.

The production of high-resolution infrared sensors involves critical components including optical assemblies, detector arrays and signal processing circuits. Detectors are commonly fabricated from high-performance materials such as Mercury Cadmium Telluride (MCT) and Quantum Well Infrared Photodetectors (QWIP) to enhance sensitivity and response speed. Appropriate window materials are also selected to transmit infrared radiation within designated wavebands.

A high-resolution infrared sensor consists of tens of thousands of tiny detection units (pixels). Pixel arrangement directly determines image quality, with mainstream layouts including interlaced, linear and direct readout configurations. Pixel geometry, pitch and manufacturing precision directly govern the spatial resolution of the sensor.

To improve output signal quality, signal processing circuits perform a series of operations on raw signals, including amplification, filtering and analog-to-digital (A/D) conversion. Noise suppression techniques such as Correlated Double Sampling (CDS) and digital noise reduction algorithms effectively reduce random signal noise and boost the signal-to-noise ratio (SNR) of output images.

In industrial manufacturing, temperature distribution measurement is applied to product quality control and operational condition monitoring of production equipment. During electronics manufacturing, printed circuit board (PCB) solder joint quality inspection relies on precise temperature monitoring of welding points. Real-time temperature mapping quickly detects defects such as cold solder joints and poor solder connections.In heat treatment processes, uniform heating and cooling of metal workpieces are critical to product quality. Infrared thermal imaging enables real-time full-area temperature monitoring of components, stabilizing manufacturing processes and guaranteeing product reliability.

Medicine represents another major application field for infrared thermal imaging. In oncology screening, abnormal temperature distribution in human tissue can serve as auxiliary evidence for tumor detection. For breast cancer screening, abnormal vascular proliferation in tumorous areas may lead to local temperatures deviating from surrounding healthy tissue.Furthermore, in rehabilitation medicine, infrared thermography enables clinicians to identify temperature patterns at inflamed sites, assisting evaluation of therapeutic efficacy and recovery progress. Surgeons may also deploy thermal imaging intraoperatively to monitor patient physical conditions such as blood circulation.As illustrated by these cases, infrared thermal imaging boasts extensive applications in temperature distribution detection, carrying substantial practical significance and application value.