Common models of thermal imaging camera signal processing units

The signal processing unit of a thermal imaging camera is key the thermal imaging system, responsible for converting the raw signals collected by the infrared sensor into high-quality, usable signals. Here are some common and high-performance models.

The TMS320 series digital signal processors adopt a very long instruction word (VLIW) architecture, of executing multiple operations in parallel within a single clock cycle, with clock frequencies reaching gigahertz, making them extremely efficient in processing thermal imaging data. The integrated floating processing unit can efficiently run complex algorithms, such as the fast Fourier transform (FFT), for analyzing signal frequency and filtering noise. This series also supports multi-channel data acquisition allowing multiple infrared sensors to be connected simultaneously, meeting different thermal imaging resolution and frame rate requirements, and is widely used in industrial inspection and security monitoring.

The Jetson series is designed for edge computing and artificial intelligence applications. Taking the Jetson Xavier NX as an example, it integrates high-performance computing cores such the GPU and deep learning accelerators. The GPU's parallel computing capability can quickly complete basic signal processing, and the powerful AI computing power supports running neural network algorithms such as convolutional neural networks (CNN). In forest fire monitoring, it can automatically identify fire sources and smoke; in autonomous driving thermal imaging auxiliary systems, it can obstacle detection and avoidance. In addition, this series has a rich interface and strong expandability, making it easy to integrate with other devices.

Hikvision has strong strength in the field of video surveillance. Its thermal imaging camera signal processing unit uses a self-developed high-performance image processing chip. Through multi-threaded parallel technology, it can quickly process signals from multiple thermal imaging channels simultaneously, ensuring that clear and stable thermal imaging images can be output even in complex scenes. In terms of analysis, it integrates deep learning algorithms that can identify targets and monitor abnormal behavior. Moreover, the signal processing unit has good compatibility and can be seamlessly connected with a variety infrared sensors and back-end equipment, and is widely used in urban security, financial monitoring and other fields.

The RK399Pro is a high-performance system-on-chip (SoC) that adopts a six-core processor architecture, balancing powerful computing capabilities with low power consumption. The-in hardware codec engine supports video encoding formats such as H.264 and H.265, making it convenient to store and transmit thermal imaging signals. rich interfaces make it easy to connect various infrared sensors and external devices, and it plays an important role in smart home security, small industrial equipment monitoring and other scenarios.

common models, with their respective technical advantages, promote the widespread application of thermal imaging technology in different fields. In the future, with the advancement of technology, more-performance, low-power and function-rich signal processing unit models will emerge, enhancing the performance and application value of thermal imaging cameras.