tailieunhanh - Báo cáo hóa học: " A Low-Power Integrated Smart Sensor with on-Chip Real-Time Image Processing Capabilities"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: A Low-Power Integrated Smart Sensor with on-Chip Real-Time Image Processing Capabilities | EURASIP Journal on Applied Signal Processing 2005 7 1062-1070 2005 Hindawi Publishing Corporation A Low-Power Integrated Smart Sensor with on-Chip Real-Time Image Processing Capabilities Massimo Barbaro Department of Electrical and Electronic Engineering University of Cagliari Piazza d Armi 09123 Cagliari Italy Email barbaro@ Luigi Raffo Department of Electrical and Electronic Engineering University of Cagliari Piazza d Armi 09123 Cagliari Italy Email luigi@ Received 16 September 2003 Revised 13 May 2004 A low-power CMOS retina with real-time pixel-level processing capabilities is presented. Features extraction and edge enhancement are implemented with fully programmable 1D Gabor convolutions. An equivalent computation rate of 3 GOPs is obtained at the cost of very low-power consumption pW per pixel providing real-time performances 50 microseconds for overall computation mW . Experimental results from the first realized prototype show a very good matching between measures and expected outputs. Keywords and phrases smart sensors bioinspired circuits real-time image processing. 1. INTRODUCTION Real-time low-power low-cost and portable vision systems apt to be adopted as an optical front end on mobile and autonomous systems are more and more demanded for by the consumer electronic market. Specific vision tasks ranging from segmentation to recognition characters faces postures obstacles and classification are required in several different applications which are emerging from the needs of the automotive mobile surveillance market. In the automotive field for example an increasing number of electronic devices are being introduced in the car to improve safety and driveability. Sensors will be needed for applications such as drivesupport and safety measures. In the mobile market more and more capabilities such as OCR face recognition and so on will be built in the 3G cell phones which are already being equipped with digital cameras. .