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The Ninth International Conference on Electronic Measurement 2 Multiple non scanning infrared imaging detector planar arrays The infrared imaging detector has been developed quickly since the 1970 s from linear array to the planar array and from near infrared to far infrared The number of elements of infrared detector plane array is increasing Infrared imaging detection system has a good sensitivity and high spatial resolution a wide range of dynamic tracking as well as the effective range compared to the non imaging infrared detection Infrared imaging detection system has better ability to complete target identification and precision detection For an infrared imaging detection system the application of image processing and target recognition is a key feature difference from non imaging infrared detection system The sensitivity of the detector array the performance of image processing and target recognition algorithm the performance of detection algorithm and the mechanical mobility all determine the performance of the detection system This paper will deep into the search of a near infrared imaging detection system based on Davinci DSP platform which is suitable for video and image processing due to its structure The platform has an ARM9 core transplanted with Linux operating system and a C64x DSP core to complete imaging algorithms in real time The paper will be structured as follows In Section we will expose the framework of the system In Section we will deep into the study of hardware design of the image processing and recognition In Section we will describe our approach of software structure especially the Linux operating system migration In section we will deep into the study of the image processing and 4 154 978 1 4244 3864 8 09 25 00 2009 IEEE The Ninth International Conference on Electronic Measurement an output interface video processing back end VPBE for display devices such as analog SDTV displays digital LCD panels HDTV video encoders etc In addition to these peripherals there is a set of common buffer memory and DMA control to ensure efficient use of the DDR2 burst bandwidth The shared buffer logic memory is a unique block that is tailored for seamlessly integrating the VPSS into an image video processing system It is imperative that the VPSS utilize DDR2 bandwidth efficiently due to both its large bandwidth requirements and the real time requirements of the VPSS modules Because it is possible to configure the VPSS modules in such a way that DDR2 bandwidth is exceeded a set of user accessible registers is provided to monitor overflows or failures in data transfers Therefore the DSP is suitable for the image detection task As the DDR2 offers high bandwidth for the system operation the quality of the PCB design of DDR2 will affects the stability and robustness of the whole system As the highest frequency on board is nearly Gigahertz the most challenging work in the design is how to resolve Electro Magnetic Compatibility of the whole system 4 155 The Ninth International Conference on Electronic Measurement g x ynf x y 4 157 The Ninth International Conference on Electronic Measurement Template matching statistical classification and artificial neural network Template matching is the earliest and easiest way for image recognition which is somewhat one of statistical recognition Matching is a general operation denoted by correlation coefficient used to define the similarity between the templates and the samples When using template matching templates shall be firstly established with the training samples to calculate with the samples to be classified Statistical classification is to extract the characteristics of the target image and divide them into n dimension character space When the characters have been properly chosen samples within the same class will be close to each other in the n dimension character space Probability density distribution function is the foundation of the partition Artificial neural network is a distributed parallel information processing model featured as imitating the behavior of neural network in human brain The collective behavior of the neural network can be robust fault tolerance anti interference adaptable and self learning capable of processing complex tasks And thus the location information of the target has been finally calculated CONCLUSION Finally the hardware is stable and it can work properly over 700MHz data rate even when actually overclocking tested which shows that the hardware design is qualified And the picture of the PCB is shown in figure 10 Fig 10 Picture of the PCB 4 158 The Ninth International Conference on Electronic Measurement Instruments ICEMI 2009 With the properly processed image data and multi ways of recognition algorithms the infrared image can be finally well recognized ACKNOWLEDGMENT The author wishes to thank the ICEMI and IEEE for their contribution to the conference and all those who technically and economically support the program REFERENCES 1 Chen Bing qi and Sun Ming Practical Digital Image Processing and Analysis Tsinghua university Press pp 70 75 Oct 2007 2 Li Ya feng and Ou Wen sheng Linux System Development From Entry to the Master Tsinghua university Pr