Hardware Design of an Image Acquisition Device for Target Observation and Tracking

Abstract

In order to observe and track the separated targets in the air, This paper presents a hardware image acquisition platform based on three-way camera + FPGA + two-way DSP, Xilinx artix-7 series xc7a200t-2fbg676i FPGA is used as the main processor. It is mainly responsible for high-speed image acquisition, preprocessing, transmission and display, TMS320DM368 DSP of Texas Instruments is used as image compression processor. After receiving the image transmitted by artix-7 FPGA, the image H.264 is compressed. This architecture solves the delay problem of traditional image acquisition system in hardware architecture level, and realizes the real-time and high-speed image acquisition and processing. At the same time, the hardware has the basis of multi-channel image acquisition, multi-channel image compression, visible light and infrared camera acquisition data fusion.

Iris Image Acquisition and Real-Time Detection System Using Convolutional Neural Network

“…In the traditional image acquisition method, the analog video signal of the CCD (Charge Coupled Device) camera is processed into a digital signal with A/D (Analog to Digital converter), stored on the image acquisition card, and then send to the computer. This method is most commonly used and mature, but there are also some shortcomings [6]. Firstly, the output of the CCD camera has been converted to the simulated NTSC (National Television System Committee) or PAL (Phase Alternating Line) format and is output through S-Video (Separate Video) or mixed video signal.…”