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The Body Infrared Image Acquisition And Monitoring System On Nios â…¡

Posted on:2011-01-18Degree:MasterType:Thesis
Country:ChinaCandidate:H H FangFull Text:PDF
GTID:2178330305460388Subject:Circuits and Systems
Abstract/Summary:PDF Full Text Request
Traditional digital image monitoring system usually is based on the PC platform, it uses a dedicated capture card and storage, resulting in the whole machine is expensive, bulky, specific areas of application are limited. The embedded video monitoring system is its low price, portable and other features in common home security, temporary work and other places have been more widely used.In this paper, FPGA-based embedded video monitoring system is studied, focusing on body infrared detection and image storage of the development methodology. NTSC video camera images to the outside world through the acquisition, combined with body infrared signal detection. FPGA platform for the study also collected data compression method saved to SD card.SoPC hardware circuit board technology is based on FPGA, is responsible for scheduling and controlling the system. External camera, pyroelectric infrared sensors, SDRAM and SD card devices, to achieve automatic image acquisition, testing, deployment and storage.FPGA internal logic circuit using Verilog hardware description language design methods, using structured modular design, including image capture and conversion module, the human body infrared detection module, NiosⅡsystem module. Finally, through the Embedded C language NiosⅡsystem software control system, and completed the TCP/IP,μC/OS-Ⅱoperating system migration, SD card, DM9000A driver and image file generation process design. The thesis QuartusⅡlogical circuit synthesis, adaptation, and download.Because this system uses single-chip FPGA control scheme, the system has a high level of integration, flexibility and reliability features. It has highly configurable, low power consumption, while a complete EDA tool can quickly generate prototypes that can in many applications to replace traditional PC-based image monitoring method.
Keywords/Search Tags:NiosⅡsystem, SoPC technology, μC/OS-Ⅱoperating system, Image monitoring
PDF Full Text Request
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