Research on Driver Design for CMOS Image Sensor Based on DM642

Ping Xian Yang; Zhen Bao Liu; Tao Jin

doi:10.4028/www.scientific.net/AMM.321-324.994

Paper Titles

Natural Gesture Recognition Based on Motion Detection and Skin Color
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A Study of Vector-Valued Binary Scaling Functions and Parseval Frames with Integer Dilation Constant
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Design Method for Dynamic Map Symbols Based on RIA Environment
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High Efficient Depth Video Coding Based on Static Region Skipping
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Research on Driver Design for CMOS Image Sensor Based on DM642
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A Multi-Feature Fusion Method for Forward Vehicle Detection with Single Camera
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Edge Classification Based DCT Coefficients Reorganization for Wyner-Ziv Distributed Video Coding
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A Semantic Classification Method of Digital Image Based on Cloud Model
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Online Real-Time Detection Method for Defects of Railroad Track Surface
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 321-324Research on Driver Design for CMOS Image Sensor...

Research on Driver Design for CMOS Image Sensor Based on DM642

Abstract:

This paper mainly researches on the TI company fixed-point digital signal processor TMS320DM642 video capture technology for CMOS image sensors, sensor interface and video mini-driver carried out a detailed analysis, established different levels of peripheral structures under different CMOS Sensor, the research in this field has flexible characteristics and high practical value.