A Novel Embedded System Architecture for Fire Detection Based on Image Processing

Article Preview

Abstract:

This paper presents novel logic/software co-work architecture for embedded high definition image processing platform, which is built by the considerations of system level, board hardware level, and the tasks partition between CPU processing and programmable logic based on the latest launched System on Chip Field Programmable Gate Array (Soc FPGA) – Xilinx ZC7020. For this case, we comprehensive analyze of the critical data paths: the uniform Advanced Extensible Interface (AXI) processing between processing system (PS) and processing logic (PL), including high definition video pass through PL to PS and PS software processing send to PL for speed up. We have included the transplant of opensource Linux, multiprocessing cooperative control and boot loader in PS side. Since the general platform is proposed, a fire detection approach based on high definition image processing is implemented. Experiment results indicated the feasibility and universality of the embedded system architecture.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

454-458

Citation:

Online since:

October 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Zynq-7000 EPP ZC702 Base Targeted Reference Design on http: /www. xilinx. com/support/documentation/boards_and_kits/ug925-zynq-zc702-base-trd. pdf.

Google Scholar

[2] Keith DeHaven, EPPs: The Ideal Solution for a Wide Range of Embedded Systems on http: /www. xilinx. com/support/documentation/white_papers/wp369_Extensible_Processing_Platform_Overview. pdf.

Google Scholar

[3] Zynq-7000 All Programmable SoC (XC7Z010 and XC7Z020): DC and AC Switching Characteristics on http: /www. xilinx. com/support/documentation/data_sheets/ds187- XC7Z010 -XC7Z020- Data-Sheet. pdf.

Google Scholar

[4] T. Celik, H. Demirel, H. Ozkaramanli, Automatic fire detection in video sequences, in: Proceedings of European Signal Processing Conference (EUSIPCO 2006), Florence, Italy, September (2006).

DOI: 10.1109/icassp.2006.1660317

Google Scholar

[5] Turgay Celik, Hasan Demirel, Fire detection in video sequences using a generic color model. Fire Safety Journal 44 (2009), pp.147-158.

DOI: 10.1016/j.firesaf.2008.05.005

Google Scholar

[6] Wen-bing Homg, Jim-Wen Peng, Chih-Yuan Chen, A new Image-based real-time flame detection method using color analysis, in: Proceedings of IEEE Networking, Sensing and Control, ICNSC, (2005) , pp.100-105.

DOI: 10.1109/icnsc.2005.1461169

Google Scholar

[7] Tung Xuan Truong, Jong-Myon Kim, Fire flame detection in video sequences using multi-stage pattern recognition techniques, Engineering Applications of Artificial Intelligence, 25(2012), pp.1365-1372.

DOI: 10.1016/j.engappai.2012.05.007

Google Scholar

[8] Xuanfang Yang, Jialin Wang, Shizhao He, A SVM Approach for Vessel Fire Detection Based on Image Processing, Proceedings of International Conference on Modeling, Identification and Control, Wuhan, China, (2012), pp.24-26.

Google Scholar