Design of the Independent Rescue System Based on the Passive Sound Source Localization and Machine Vision

Sheng Dong; Ai Guo Zhao; Li Yun Xing; Fei Wang; Fang Lei Song; Lian Xue Hao

doi:10.4028/www.scientific.net/AMM.713-715.966

Paper Titles

A Wavelet Based Directional Algorithm for UHVDC Line Protection
p.950

Comparison of Resource Scheduling Algorithms for LTE-Based Smart Grid Communications
p.954

The Identification Algorithm of Power System’s Bad Data Based on Improved K-Means
p.958

Comparison of Downlink Channel Estimation Schemes for LTE-Based Smart Grid Communications
p.962

Design of the Independent Rescue System Based on the Passive Sound Source Localization and Machine Vision
p.966

The Design of Signal Generator Based on FPGA High Resolution
p.970

Study on AC Artificially Pollution Flashover Performance of Long Porcelain Insulator String
p.975

The Embedded Video System Based on N32926 with RT-Thread
p.979

Real-Time Precise IOT Positioning System Based on Chirp Spread Spectrum Technology for Transportation
p.983

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 713-715Design of the Independent Rescue System Based on...

Design of the Independent Rescue System Based on the Passive Sound Source Localization and Machine Vision

Abstract:

The purpose of this paper is to design a family or battlefield independent rescue system which is based on passive sound source localization and machine vision, The system consists of five modules: the sound acquisition and processing module based on FPGA, image acquisition and processing module based on TMS320DM6437, video capture and communication control module based on TMS320DM355, motion control module based on MSP430F149, PC server and smart handheld mobile client. It can track target person who need help automatically by recognizing his voice and image, to provide emergency medicines, communication tools, and transmit real-time video information to a server on PC and a mobile client on Andriod platform by wireless network, and be controlled remotely.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 713-715)

Pages:

966-969

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.713-715.966

Citation:

Cite this paper

Online since:

January 2015

Authors:

Sheng Dong*, Ai Guo Zhao, Li Yun Xing, Fei Wang, Fang Lei Song, Lian Xue Hao

Keywords:

FPGA, Sound Source Localization, TMS320DM355, TMS320DM6437

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] TI. LM567CM-datasheet. pdf [EB/OL], (2013).

Google Scholar

[2] ALTERA, DE2_70 User manual_v101. pdf[EB/OL], (2007).

Google Scholar

[3] Jiang Jian guo, Li Ming, Qi Meibin. Real-time checking and tracking of moving object based on TMS32ODM6437[J]. JOURNAL OF HEFEI UNIVERSITY OF TECHNOLOGY, 2011: 34(7): 1007-1010.

Google Scholar

[4] TI. TMS320DM6437 Digital Media Processor datasheet. pdf [EB/OL], (2007).

Google Scholar

[5] Jiang Rongrong, Zhou Jianjiang. Design and Implementation of Vidio Transmission System of MAV Based on TMS320DM355[J]. Electronics Optics & Control, 2013: 20(1): 56-60.

Google Scholar

[6] TI. TMS320DM355 Digital Media System on Chip datasheet. pdf [EB/OL], (2007).

Google Scholar

[7] Sheng Dong, Lipeng Wang, Zhanhai Yu. Research on a DSP Technology Experiment Teaching Platform Based on Network[C]. Teaching Seminars on Higher Education (2011).

Google Scholar

[8] TI. MSP430x1xx Family Users Guide slau049f. pdf [EB/OL], (2006).

Google Scholar

[9] John G. Proakis, Dimitris G. Manolakis. Digital Signal Processing[M], Fourth Edition. Bei Jing: PUBLISHING HOUSE OF ELECTRONICS INDUSTRY. 2007. 6.

Google Scholar

[10] Li QiHu. Sonar signal processing Introduction[M]. Bei Jing: Science Press. 2012. 254～255.

Google Scholar