A near infrared imaging detection system based on davinci platform

Abstract

Infrared imaging detection technology is a high-tech, involving of optics, electronics, machinery and computer science in many fields. The technology now plays a crucial role in detection of early warning, identification tracking, public security, fire alarm and applications in many other fields. This paper mainly expands on a near-infrared imaging detection system based on Davinci Digital Signal Processor (DSP) platform. And this article describes the schematic, hardware structure and image data processing algorithm of the near-infrared imaging detection system in detail. Firstly, infrared radiation from the tracked target is focused on the CMOS near infrared image sensor through an infrared optical lens. The image sensor controlled by a Complex Programmable Logic Device (CPLD) produces the corresponding image data, and then the image data is scaled by the CPLD to fit the following data processing. The CPLD also plays a key role in video buffering and noise reduction. The Davinci DSP-SOC will then accept the data flow afterward, and calculate the location of the target with the corresponding image processing algorithms to control the servos of horizontal and vertical, locking and tracking the infrared target in real time. The ARM9 core in the DSP-SOC is operated with Linux, which is free and open source. The user can humanly program the core DSP algorithms and tracking algorithms with a PC to get a much better effect of tracking. With a touch-screen and TFT LCD, the system is much more convenient and user-friendly. Due to the high sensitivity and resolution, the near infrared imaging detection system can be used at night or in very low visibility, having an excellent target recognition capability and precision- detection capability.