The Monitoring Platform for Campus Security Based on Intelligent Assisted Vision

Abstract:

Rapid, accurate identification and location of abnormal situation are significant for campus security. The traditional abnormal detections on campus are mainly artificial, which is difficult to conduct accurate and timely action. This paper proposes an Android monitoring platform for campus security based on visual multi-state monitoring states. It uses multiple sensors to collect system information thus realizing advantages complementary, uses wavelet transform in data processing, based on campus feature extraction, to realize image fusion in the pixel domain, greatly improving the output SNR, which improve the results of identification and location of the abnormal situation on campus. Finally, we verify the algorithm by the disaster source in actual disaster environment. Results show that the fusion algorithm in this paper greatly improves performance of campus security monitoring system to identify and locate the source disaster.

• Periodical: Applied Mechanics and Materials (Volumes 543-547)
• Pages: 981-984
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.543-547.981
• Online since: March 2014
• Authors: Xing Na He*, Yin Fu Zhang
• Keywords: Campus Security, Image Fusion, Rescue Platform, Visual Identification

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