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Casualty Predictor and Notification System for Fire Accidents

  • Nivedha A , Prajvala R C , Pulagam Suvarchala Naga Lakshmi , Rashmi G
  • In Pyro Electrical Industries,like one in Sivakasi ,Tamil Nadu,fire accidents are very common and cause a lot of human loss.Our model will predict the casualty rate, fire alarm intensity and develop a notification system to alert authorities providing location information using zone mapping technique.This model will also do false alarm detection using probability function and categorises into different classes based on Intensity.Also self extinguisher will be incorporated inside our Bot to extinguish the fire. Digital image processing is applied to extract information from the  bot camera,Neural network model is used for prediction of false alarm rate and also for casualty prediction. AWS Kloudgin platform is used for monitoring sensors in bot(like smoke, atmospheric pressure) and for notification system-using AWS SNS (simple notification system) which will alert the concerned person with the casualty prediction,location of the fire outburst.

  • Target groups : Workers in Pyro Electrical Industries.

    If applied in scientific laboratories : Scientists,Students.

  • https://drive.google.com/file/d/1TtwC7cck1ZwgtUt5Q8h4B2RJ0xC8rLDK/view?usp=sharing

  • https://drive.google.com/drive/folders/1RPYXxrRBroVctSrzhA3FNq6C-5YGu_9O?usp=sharing

November 13, 2019

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