Title :
Intelligent evacuation system integrated with image recognition technology
Author :
Kun-Ming Yu;Ching-Shiang Yu;Cheng-Chang Lien;Shao-Tsai Cheng;Ming-Yuan Lei;Huan-Po Hsu;Nancy Tsai
Author_Institution :
Department of Computer Science and Information Engineering, Chung Hua University, Hsinchu, Taiwan
Abstract :
Nowadays, in case of an emergency, and because of the more complicated interiors of buildings, people may not be able to easily find a safe escape route within limited time. An immediately available evacuation guide can improve safety in public buildings. In this research paper, we propose an intelligent guidance system that is a combination of image recognition and Digital Signage for conducting people to safety. This system applies WSN and RFID to collect environmental information, IP cameras to monitor group movements and uses an evaluation algorithm to circulate a safe route using environmental information obtained from the system and then smartphones and digital signage to guide people to the exit. Instruction guides are displayed using the digital signage. The execution time of the proposed system was also evaluated: the overall processing time for a complex space was less than 1.1 second showing the superior efficiency of the proposed system compared with previous systems.
Keywords :
"Monitoring","Radiofrequency identification","Smart phones","Databases","Flowcharts","Wireless sensor networks","IP networks"
Conference_Titel :
Ubi-Media Computing (UMEDIA), 2015 8th International Conference on
DOI :
10.1109/UMEDIA.2015.7297422