Zynq-7000 SoC-based portable uncooled infrared imaging system
Zynq-7000 SoC-based portable uncooled infrared imaging system

A novel portable infrared imaging system based on uncooled focal plane array and programmable system-on-chip (SoC) was proposed. The latest Xilinx Zynq-7000 was used to integrate the main part of the system into a single SoC. Parallel arithmetic units and digital modules were implemented on the programmable logic (PL) of Zynq-7000 to decrease system size and ensure the real-time p nonuniformity correction, while programs running on the processing system (PS) of Zynq-7000 controlled the system work flow and provided human-machine interfaces using open-source software such as Linux and OpenCV. Meanwhile, industry standard advanced extendable interface (AXI) buses were adopted to encapsulating standardized IP cores and build high speed data exchange bridges between units within Zynq-7000. Test results indicate that the image quality and real-time performance of the system can meet application requirements. And it provided a more flexible and extendable solution for evaluating and deploying infrared image enhancement and nonuniformity correction algorithms.
A novel portable infrared imaging system based on uncooled focal plane array and programmable system-on-chip (SoC) was proposed. The latest Xilinx Zynq-7000 was used to integrate the main part of the system into a single SoC. Parallel arithmetic units and digital modules were implemented on the programmable logic (PL) of Zynq-7000 to decrease system size and ensure the real-time p nonuniformity correction, while programs running on the processing system (PS) of Zynq-7000 controlled the system work flow and provided human-machine interfaces using open-source software such as Linux and OpenCV. Meanwhile, industry standard advanced extendable interface (AXI) buses were adopted to encapsulating standardized IP cores and build high speed data exchange bridges between units within Zynq-7000. Test results indicate that the image quality and real-time performance of the system can meet application requirements. And it provided a more flexible and extendable solution for evaluating and deploying infrared image enhancement and nonuniformity correction algorithms.