Key technologies of the signal processing unit in thermal imaging cameras

Digital signal processing algorithms are one the core technologies of the signal processing unit. Common algorithms include the Fast Fourier Transform (FFT) and wavelet transform, etc. FFT can convert time-domain signals into-domain signals, which is convenient for analyzing the frequency components of signals and plays an important role in noise removal and signal feature extraction; the wavelet transform has the characteristics multi-resolution analysis and can analyze signals at different scales, which is more effective in processing non-stationary signals and has a significant effect on detail feature extraction and image in thermal imaging signals.

With the development of artificial intelligence technology, neural network algorithms are increasingly widely used in thermal imaging signal processing. Convolution Neural Networks (CNN) can automatically learn the feature patterns in thermal imaging images and achieve functions such as image classification, object detection, and temperature anomaly recognition. In the detection of industrial equipment, CNN can quickly and accurately judge whether the equipment has faults and the type of faults by learning the thermal imaging features of normal and faulty equipment greatly improving the efficiency and accuracy of detection.

In many thermal imaging application scenarios, such as security monitoring and autonomous driving, the real-time requirements signal processing are extremely high. The signal processing unit needs to adopt high-speed processors and optimized algorithm architectures to ensure that a large amount of signal processing tasks can be completed a short period of time, achieving real-time output of thermal imaging images. Parallel computing technology is used to process different parts of the signal simultaneously with multiple processor cores, up the processing speed; the algorithm process is optimized to reduce unnecessary calculation steps and improve the execution efficiency of the algorithm.

The signal processing unit of the thermal imaging camera the raw signals collected by the infrared sensor into high-quality thermal imaging images and accurate temperature information through a series of complex and meticulous processing processes and advanced technologies, providing support for the extensive application of thermal imaging technology in many fields such as industry, security, medical, and scientific research. With the continuous advancement of technology, the performance functions of the signal processing unit will continue to improve, promoting the thermal imaging technology to a higher level of development.