Abstract:
This project presents an integrated emergency detection and response
system powered by cutting-edge hardware and software components. The
system utilizes a local processing unit along with dedicated sensors for
real-time detection of fire, gas leaks, and vibrations.
The system also utilizes Long-Range Low-Power Radio Frequency
(LoRa) communication technology, enabling the secure transmission of
data in remote or sparsely connected areas.
On the software side, Natural Language Processing (NLP) algorithms
detect emergency words and distress calls through voice. The system
notifies through a sound when any risk occurs. Moreover, various sensor
data and distress voice sentences, after text-conversion using a
proprietary algorithm, are sent to the emergency center.
The electronic display screen enhances emergency centers' response and
communication to incidents through the display in real time of the
incident date and time, nature of incident, subscriber name, as well as
his/her location on a map. It also avails mechanisms for communication
between the emergency center and individuals in hazardous locations.
In summary, this project combines a robust infrastructure with a range of
real-time data processing technologies for integration into a smart
emergency system that is a lifeline to people, in an effort to improve and
offer them protection in risky situations, especially during wars. The
system is an effective and scalable solution that can be upgraded based on
future technology in safety and smart building systems.