Situation Awareness Support  for Real – Time Emergency 

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Situation Awareness Support  for Real-time Emergency 

 Situation Awareness Support  for Real – Time Emergency 

Abstract of  Iot Project On Situation Awareness Support For Real Time Emergency

Iot Project On Situation Awareness Support For Real Time Emergency.There will be some situations in some cases where the emergency situations like stampedes or any disasters occur, we get stuck in the situations where we are unable to find whether our friends or family members who are separated from us in that situation is safe. Suppose if we got separated from our loved ones and if they need any help and we are unaware of that. Due to this, we cannot help them and we not even know whether they are safe or not.

Situation Awareness Support For Real Time Emergency are very active area of research. Another task highly relevant in today’s world is emergency management and situation awareness support systems. Integration of these technologies promises to make our lives safer in the face of natural disasters, emergencies or weapon attacks. 

To overcome this scenario this project helps us in finding our loved ones in the emergency situations. We will create a WiFi-based mesh network where each node will be acting as the access point. every person will be having a mobile application.

System Configuration

H/W System Configuration

Speed                   : 1.1 GHz
 
RAM                      : 256 MB(min)
 
Hard Disk              : 20 GB
 
Floppy Drive          : 1.44 MB
 
Key Board             : Standard Windows Keyboard
 
Mouse                  : Two or Three Button Mouse
 
Monitor                : SVGA
 
S/W System Configuration
 
 
Platform                     :  IOT
 
Operating system       : Windows Xp,7,
 
Server                       : WAMP/Apache
 
Working on                : Browser Like Firefox, IE

 

Conclusion

The Situation Awareness Support  for Real – Time Emergency  paper provides a thorough analysis of existing approaches to crowd behavior coordination, presents the multilayer structure of the application and discusses its performance. Our future work includes tuning additional layers and improving algorithms for real-time people flow coordination. Particular focus will be given the problem of data gathering, storage, processing, and fusion. A prototype of SASS will be available soon at http://turion.info. Authors hope that it will be helpful in guiding the people to choose the safe route and formulating efficient evacuation plans.