International Journal of Advanced Innovative Technology in Engineering (IJAITE)

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Digital Image Processing Based Smart Transportation and Fire Detection in Industrial Environment using Internet of Things

Neha W. Randhe, Prof. Dr. S. W. Mohod, Prof. S. V. Pattalwar

Abstract :

Internet of Things (IoT) allows a massive number of uniquely addressable “things” to communicate with each other and transfer data over existing internet or compatible network protocols. This article proposes a new concept that tackles the issues on industrial transportation to perform tasks of transportation using smart vehicles guided by sensors and IoT. The vehicle will take images of the environment and apply the fire detection DIP algorithm. The vehicle will also note the temperature of the environment and transfer it to the remote operator by IoT. In case of fire detection and temperature rise above the threshold, the vehicle will blow the buzzer. The same information will be reported to the remote operator. The exact simulation arena as that of the physical industrial arena is developed using a python graphical module. The simulation arena and vehicles in the industrial arena will communicate with each other using the internet. By simulation, we can provide a traveling path to a vehicle. The same traveling path will be traced in simulation and in the physical industrial arena. This complete idea is explained with the help of the prototyping module.

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