Common models of thermal imaging camera image processing units

The image processing unit of a thermal imaging camera is key to converting digital signal, which has been signal processed, into an intuitive thermal image. Common models perform exceptionally well in various fields.

ingka Technology's LC221 is a high-performance infrared camera module. It employs advanced ASIC solutions, paired with an uncooled long-wave infrared vanadium detector, offering high resolutions of 384×288 or 640×512. Its powerful image processing unit supports NUC correction eliminate uneven image brightness, as well as various algorithms such as bad pixel removal and temporal and spatial noise reduction to enhance image quality. Pseudo-color processing can intuitively temperature distribution. Additionally, it supports H264/H265 video encoding, making it convenient for storage and transmission. It is often used in scenarios such hot spot search and thermal aiming, like detecting intruders in security monitoring and predicting industrial equipment failures.

The image units of FLIR's products integrate advanced digital signal processing chips, offering fast processing speeds. By expanding the grayscale dynamic range through histogram equalization, subtle temperature differences become visible. The high-precision non-uniformity correction model ensures accurate temperature measurement and consistent brightness and color in the same temperature area of the image. It also supports fusion, combining thermal imaging with visible light images, which is widely used in industries that require high precision in image analysis, such as industrial inspection and power patrol, to in accurately judging the status of equipment.

This image processing unit adopts a parallel computing architecture and optimized algorithms, strong real-time processing capabilities and completing a large amount of thermal imaging data processing in a short period of time. By integrating deep learning algorithms and leveraging convolutional neural networks it can automatically identify target objects and monitor temperature anomalies based on the characteristics of thermal imaging. In forest fire monitoring, it can quickly identify fire sources and smoke; in security, it can analyze abnormal behaviors and body temperatures of personnel. It plays an important role in large-area, long-term monitoring scenarios such as security monitoring and forest fire, ensuring regional safety.

These common models of image processing units, with their respective technological advantages, promote the application and development of thermal imaging technology in fields such as security industry. In the future, with the advancement of technology, more high-performance models will emerge, further enhancing the performance and application value of thermal imaging cameras.