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SMS Notifications from the program
Inspiration
We were inspired by the issues of public safety that are prevalent in Brampton and many communities alike that have rising trends of crime rates, and were determined to find an innovative solution using new technologies, such as a voice recognition software.
What it does
Our program uses a voice recognition API to analyze an audio recording to detect certain key words. When they are detected, an operator is notified to check the full transcript, and a text is sent to civilians to make them aware of the possible threat.
How we built it
Used several APIs and front end libraries including Twilio for connecting with the public via text, pygame to wrap, speech_recognition, PocketSphinx. Mimicking a CCTV or writable feed as our microphone integration, the industry and common cost effective implementation at this time, we evaluate the queue of hot words against words recognized, also with specific phrase combination integrated within our algorithms to detect possible threats.
Challenges we ran into
A challenge that we ran into was choosing the correct energy threshold for detecting words, as it would sometimes detect words incorrectly in a loud environment. Another challenge that we encountered was creating UI for the program, as it was difficult to format all the buttons and text to represent the correct functions in the program.
Accomplishments that we're proud of
We are proud of the integration of the SMS notification system into our program to alert citizens of a possible threat in their area, and we believe that this would be a useful addition to enhance the functionality of our program. We are also proud of our website that we created, which helps to effectively convey our mission statement to the public, provide an overview of the program, and the positive effect that it can have on the community.
What we learned
We learned how to integrate a voice recognition API into our program, and learned the specifications for sound analysis (Hertz, Chunks, Sensitivity, and Sample Rate). In addition to that, we learned how to use the Twilio API, and integrate it into our program in order to send text message to civilians to alert them about a possible threat in the area.
What's next for Safe and Sound
We think that with some refinements and further development, Safe and Sound can be implemented into the surveillance systems of communities all around the world, to prevent crime rates from rising, and keeping the peace in our communities.
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